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- README.md +248 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- all_results.json +13 -0
- checkpoint-1000/README.md +204 -0
- checkpoint-1000/adapter_config.json +32 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/merges.txt +0 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +64 -0
- checkpoint-1000/tokenizer_config.json +361 -0
- checkpoint-1000/trainer_state.json +1501 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1000/vocab.json +0 -0
- checkpoint-10000/README.md +204 -0
- checkpoint-10000/adapter_config.json +32 -0
- checkpoint-10000/adapter_model.safetensors +3 -0
- checkpoint-10000/merges.txt +0 -0
- checkpoint-10000/optimizer.pt +3 -0
- checkpoint-10000/rng_state.pth +3 -0
- checkpoint-10000/scheduler.pt +3 -0
- checkpoint-10000/special_tokens_map.json +64 -0
- checkpoint-10000/tokenizer_config.json +361 -0
- checkpoint-10000/trainer_state.json +0 -0
- checkpoint-10000/training_args.bin +3 -0
- checkpoint-10000/vocab.json +0 -0
- checkpoint-10500/README.md +204 -0
- checkpoint-10500/adapter_config.json +32 -0
- checkpoint-10500/adapter_model.safetensors +3 -0
- checkpoint-10500/merges.txt +0 -0
- checkpoint-10500/optimizer.pt +3 -0
- checkpoint-10500/rng_state.pth +3 -0
- checkpoint-10500/scheduler.pt +3 -0
- checkpoint-10500/special_tokens_map.json +64 -0
- checkpoint-10500/tokenizer_config.json +361 -0
- checkpoint-10500/trainer_state.json +0 -0
- checkpoint-10500/training_args.bin +3 -0
- checkpoint-10500/vocab.json +0 -0
- checkpoint-11000/README.md +204 -0
- checkpoint-11000/adapter_config.json +32 -0
- checkpoint-11000/adapter_model.safetensors +3 -0
- checkpoint-11000/merges.txt +0 -0
- checkpoint-11000/optimizer.pt +3 -0
- checkpoint-11000/rng_state.pth +3 -0
- checkpoint-11000/scheduler.pt +3 -0
- checkpoint-11000/special_tokens_map.json +64 -0
- checkpoint-11000/tokenizer_config.json +361 -0
- checkpoint-11000/trainer_state.json +0 -0
README.md
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1 |
+
---
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+
license: other
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+
library_name: peft
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+
tags:
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+
- llama-factory
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+
- lora
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- generated_from_trainer
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+
base_model: bigcode/starcoder2-7b
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+
model-index:
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+
- name: sft
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+
results: []
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12 |
+
---
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13 |
+
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+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
15 |
+
should probably proofread and complete it, then remove this comment. -->
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+
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+
# sft
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+
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+
This model is a fine-tuned version of [bigcode/starcoder2-7b](https://huggingface.co/bigcode/starcoder2-7b) on the starcoder_jetpack dataset.
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+
It achieves the following results on the evaluation set:
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+
- Loss: 0.6761
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+
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+
## Model description
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+
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+
More information needed
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+
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+
## Intended uses & limitations
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+
|
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+
More information needed
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+
|
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+
## Training and evaluation data
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+
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+
More information needed
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+
|
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+
## Training procedure
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+
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+
### Training hyperparameters
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+
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The following hyperparameters were used during training:
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+
- learning_rate: 5e-05
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+
- train_batch_size: 1
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+
- eval_batch_size: 1
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+
- seed: 42
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+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+
- lr_scheduler_type: cosine
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+
- num_epochs: 3.0
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+
- mixed_precision_training: Native AMP
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+
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+
### Training results
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+
|
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+
| Training Loss | Epoch | Step | Validation Loss |
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52 |
+
|:-------------:|:-----:|:-----:|:---------------:|
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+
| 1.2469 | 0.02 | 100 | 0.8479 |
|
54 |
+
| 1.3584 | 0.03 | 200 | 0.8368 |
|
55 |
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| 1.0651 | 0.05 | 300 | 0.8281 |
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| 0.9209 | 0.06 | 400 | 0.8185 |
|
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| 0.8306 | 0.08 | 500 | 0.8132 |
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| 0.9175 | 0.1 | 600 | 0.8064 |
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| 0.8157 | 0.11 | 700 | 0.8023 |
|
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| 0.9469 | 0.13 | 800 | 0.7996 |
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| 0.8872 | 0.14 | 900 | 0.7955 |
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| 0.8842 | 0.16 | 1000 | 0.7913 |
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| 0.7909 | 0.18 | 1100 | 0.7863 |
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| 0.8196 | 0.19 | 1200 | 0.7844 |
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| 0.9341 | 0.21 | 1300 | 0.7825 |
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| 0.8801 | 0.22 | 1400 | 0.7787 |
|
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| 0.9109 | 0.24 | 1500 | 0.7777 |
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| 0.8964 | 0.26 | 1600 | 0.7759 |
|
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| 0.9265 | 0.27 | 1700 | 0.7742 |
|
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| 0.8632 | 0.29 | 1800 | 0.7699 |
|
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| 1.0081 | 0.3 | 1900 | 0.7693 |
|
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| 0.7651 | 0.32 | 2000 | 0.7664 |
|
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| 1.0037 | 0.34 | 2100 | 0.7654 |
|
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| 0.8768 | 0.35 | 2200 | 0.7642 |
|
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| 0.8052 | 0.37 | 2300 | 0.7618 |
|
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| 0.7271 | 0.38 | 2400 | 0.7595 |
|
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| 0.9615 | 0.4 | 2500 | 0.7582 |
|
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| 0.8284 | 0.42 | 2600 | 0.7555 |
|
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| 0.8631 | 0.43 | 2700 | 0.7540 |
|
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| 1.0507 | 0.45 | 2800 | 0.7518 |
|
81 |
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| 0.8247 | 0.46 | 2900 | 0.7512 |
|
82 |
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| 0.9835 | 0.48 | 3000 | 0.7496 |
|
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| 0.8407 | 0.49 | 3100 | 0.7496 |
|
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| 0.7417 | 0.51 | 3200 | 0.7467 |
|
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| 0.7449 | 0.53 | 3300 | 0.7473 |
|
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| 0.8562 | 0.54 | 3400 | 0.7437 |
|
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| 0.9222 | 0.56 | 3500 | 0.7429 |
|
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| 0.9242 | 0.57 | 3600 | 0.7413 |
|
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| 0.8092 | 0.59 | 3700 | 0.7403 |
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| 0.7279 | 0.61 | 3800 | 0.7394 |
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| 0.7774 | 0.62 | 3900 | 0.7385 |
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| 0.8942 | 0.64 | 4000 | 0.7364 |
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| 0.9286 | 0.65 | 4100 | 0.7348 |
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| 0.7703 | 0.67 | 4200 | 0.7354 |
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| 0.8322 | 0.69 | 4300 | 0.7330 |
|
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| 0.9851 | 0.7 | 4400 | 0.7324 |
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| 0.8712 | 0.72 | 4500 | 0.7317 |
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| 0.7871 | 0.73 | 4600 | 0.7310 |
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| 0.7156 | 0.75 | 4700 | 0.7284 |
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| 0.7856 | 0.77 | 4800 | 0.7277 |
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| 0.7906 | 0.78 | 4900 | 0.7255 |
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| 0.7917 | 0.8 | 5000 | 0.7250 |
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| 0.6395 | 0.81 | 5100 | 0.7237 |
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| 0.7567 | 0.83 | 5200 | 0.7232 |
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| 0.8551 | 0.85 | 5300 | 0.7220 |
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| 0.7392 | 0.86 | 5400 | 0.7226 |
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| 0.9312 | 0.88 | 5500 | 0.7205 |
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| 0.8323 | 0.89 | 5600 | 0.7196 |
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| 0.7312 | 0.91 | 5700 | 0.7197 |
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| 1.0 | 0.93 | 5800 | 0.7182 |
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| 0.6164 | 0.94 | 5900 | 0.7177 |
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| 0.7484 | 0.96 | 6000 | 0.7147 |
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| 0.7924 | 0.97 | 6100 | 0.7144 |
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| 0.9389 | 0.99 | 6200 | 0.7145 |
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| 0.7108 | 1.01 | 6300 | 0.7136 |
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| 0.8076 | 1.02 | 6400 | 0.7154 |
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| 0.7232 | 1.04 | 6500 | 0.7147 |
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| 0.6456 | 1.05 | 6600 | 0.7122 |
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| 0.5862 | 1.07 | 6700 | 0.7133 |
|
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| 0.6935 | 1.09 | 6800 | 0.7112 |
|
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| 0.7522 | 1.1 | 6900 | 0.7103 |
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| 1.0525 | 1.12 | 7000 | 0.7106 |
|
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| 0.8285 | 1.13 | 7100 | 0.7099 |
|
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| 0.6116 | 1.15 | 7200 | 0.7079 |
|
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| 0.5617 | 1.17 | 7300 | 0.7087 |
|
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| 0.6514 | 1.18 | 7400 | 0.7072 |
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| 0.6729 | 1.2 | 7500 | 0.7052 |
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| 0.6401 | 1.21 | 7600 | 0.7055 |
|
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| 0.8089 | 1.23 | 7700 | 0.7052 |
|
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| 0.8166 | 1.25 | 7800 | 0.7041 |
|
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| 0.8685 | 1.26 | 7900 | 0.7026 |
|
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| 0.6945 | 1.28 | 8000 | 0.7043 |
|
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| 0.6955 | 1.29 | 8100 | 0.7010 |
|
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| 0.734 | 1.31 | 8200 | 0.7022 |
|
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| 0.5586 | 1.32 | 8300 | 0.7017 |
|
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| 0.7299 | 1.34 | 8400 | 0.6999 |
|
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| 1.089 | 1.36 | 8500 | 0.6994 |
|
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| 0.5733 | 1.37 | 8600 | 0.6994 |
|
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| 0.5409 | 1.39 | 8700 | 0.6987 |
|
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| 0.8848 | 1.4 | 8800 | 0.6976 |
|
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| 0.5739 | 1.42 | 8900 | 0.6971 |
|
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| 0.728 | 1.44 | 9000 | 0.6963 |
|
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| 0.7503 | 1.45 | 9100 | 0.6953 |
|
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| 0.706 | 1.47 | 9200 | 0.6951 |
|
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| 0.7926 | 1.48 | 9300 | 0.6945 |
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| 0.6019 | 1.5 | 9400 | 0.6945 |
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| 0.6707 | 1.52 | 9500 | 0.6943 |
|
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| 0.7269 | 1.53 | 9600 | 0.6940 |
|
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| 0.7216 | 1.55 | 9700 | 0.6923 |
|
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| 0.6394 | 1.56 | 9800 | 0.6920 |
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| 0.7608 | 1.58 | 9900 | 0.6909 |
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| 1.034 | 1.6 | 10000 | 0.6908 |
|
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| 0.7934 | 1.61 | 10100 | 0.6892 |
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| 0.627 | 1.63 | 10200 | 0.6902 |
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| 0.5849 | 1.64 | 10300 | 0.6897 |
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| 0.7257 | 1.66 | 10400 | 0.6889 |
|
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| 0.8931 | 1.68 | 10500 | 0.6890 |
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| 0.6831 | 1.69 | 10600 | 0.6875 |
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| 0.4995 | 1.71 | 10700 | 0.6879 |
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| 0.757 | 1.72 | 10800 | 0.6873 |
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| 0.4664 | 1.74 | 10900 | 0.6876 |
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| 0.78 | 1.76 | 11000 | 0.6865 |
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| 0.5564 | 1.77 | 11100 | 0.6865 |
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| 0.7858 | 1.79 | 11200 | 0.6858 |
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| 0.6989 | 1.8 | 11300 | 0.6851 |
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| 0.705 | 1.82 | 11400 | 0.6841 |
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| 0.5795 | 1.84 | 11500 | 0.6842 |
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| 0.6989 | 1.85 | 11600 | 0.6837 |
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| 0.6877 | 1.87 | 11700 | 0.6838 |
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| 0.6484 | 1.88 | 11800 | 0.6835 |
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| 0.8525 | 1.9 | 11900 | 0.6832 |
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| 0.7547 | 1.92 | 12000 | 0.6823 |
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| 0.8118 | 1.93 | 12100 | 0.6819 |
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| 0.8859 | 1.95 | 12200 | 0.6823 |
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| 0.738 | 1.96 | 12300 | 0.6811 |
|
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| 0.7051 | 1.98 | 12400 | 0.6816 |
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| 0.5598 | 2.0 | 12500 | 0.6802 |
|
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| 0.6194 | 2.01 | 12600 | 0.6812 |
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| 0.7101 | 2.03 | 12700 | 0.6817 |
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| 0.7027 | 2.04 | 12800 | 0.6815 |
|
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| 0.9432 | 2.06 | 12900 | 0.6810 |
|
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| 0.5931 | 2.08 | 13000 | 0.6817 |
|
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| 0.5412 | 2.09 | 13100 | 0.6810 |
|
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| 0.6237 | 2.11 | 13200 | 0.6815 |
|
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| 0.5871 | 2.12 | 13300 | 0.6812 |
|
186 |
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| 0.8331 | 2.14 | 13400 | 0.6817 |
|
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| 0.4528 | 2.15 | 13500 | 0.6812 |
|
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| 0.6292 | 2.17 | 13600 | 0.6814 |
|
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| 0.6219 | 2.19 | 13700 | 0.6800 |
|
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| 0.6281 | 2.2 | 13800 | 0.6798 |
|
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| 0.6949 | 2.22 | 13900 | 0.6803 |
|
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| 0.6701 | 2.23 | 14000 | 0.6791 |
|
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| 0.6467 | 2.25 | 14100 | 0.6795 |
|
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| 0.6579 | 2.27 | 14200 | 0.6800 |
|
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| 0.5978 | 2.28 | 14300 | 0.6802 |
|
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| 0.7032 | 2.3 | 14400 | 0.6793 |
|
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| 0.6347 | 2.31 | 14500 | 0.6787 |
|
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| 0.9034 | 2.33 | 14600 | 0.6788 |
|
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| 0.6166 | 2.35 | 14700 | 0.6781 |
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| 0.7327 | 2.36 | 14800 | 0.6786 |
|
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| 0.7159 | 2.38 | 14900 | 0.6777 |
|
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| 0.6283 | 2.39 | 15000 | 0.6779 |
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| 0.6113 | 2.41 | 15100 | 0.6776 |
|
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| 0.5951 | 2.43 | 15200 | 0.6781 |
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| 0.6747 | 2.44 | 15300 | 0.6777 |
|
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| 0.5935 | 2.46 | 15400 | 0.6779 |
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| 0.6435 | 2.47 | 15500 | 0.6776 |
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| 0.637 | 2.49 | 15600 | 0.6772 |
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| 0.4617 | 2.51 | 15700 | 0.6774 |
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| 0.7937 | 2.52 | 15800 | 0.6771 |
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| 0.7187 | 2.54 | 15900 | 0.6768 |
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| 0.657 | 2.55 | 16000 | 0.6767 |
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| 0.8606 | 2.57 | 16100 | 0.6767 |
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| 0.4392 | 2.59 | 16200 | 0.6768 |
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| 0.5675 | 2.6 | 16300 | 0.6769 |
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| 0.6454 | 2.62 | 16400 | 0.6768 |
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217 |
+
| 0.5787 | 2.63 | 16500 | 0.6767 |
|
218 |
+
| 0.6111 | 2.65 | 16600 | 0.6766 |
|
219 |
+
| 0.6106 | 2.67 | 16700 | 0.6767 |
|
220 |
+
| 0.5947 | 2.68 | 16800 | 0.6763 |
|
221 |
+
| 0.5576 | 2.7 | 16900 | 0.6763 |
|
222 |
+
| 0.659 | 2.71 | 17000 | 0.6762 |
|
223 |
+
| 0.787 | 2.73 | 17100 | 0.6761 |
|
224 |
+
| 0.5503 | 2.75 | 17200 | 0.6760 |
|
225 |
+
| 0.5558 | 2.76 | 17300 | 0.6760 |
|
226 |
+
| 0.6324 | 2.78 | 17400 | 0.6761 |
|
227 |
+
| 0.5846 | 2.79 | 17500 | 0.6761 |
|
228 |
+
| 0.9542 | 2.81 | 17600 | 0.6760 |
|
229 |
+
| 0.5755 | 2.83 | 17700 | 0.6761 |
|
230 |
+
| 0.7841 | 2.84 | 17800 | 0.6761 |
|
231 |
+
| 0.5662 | 2.86 | 17900 | 0.6761 |
|
232 |
+
| 0.8085 | 2.87 | 18000 | 0.6761 |
|
233 |
+
| 0.7389 | 2.89 | 18100 | 0.6761 |
|
234 |
+
| 0.736 | 2.91 | 18200 | 0.6761 |
|
235 |
+
| 0.5604 | 2.92 | 18300 | 0.6761 |
|
236 |
+
| 0.6156 | 2.94 | 18400 | 0.6761 |
|
237 |
+
| 0.5473 | 2.95 | 18500 | 0.6761 |
|
238 |
+
| 0.7286 | 2.97 | 18600 | 0.6761 |
|
239 |
+
| 0.5932 | 2.98 | 18700 | 0.6761 |
|
240 |
+
|
241 |
+
|
242 |
+
### Framework versions
|
243 |
+
|
244 |
+
- PEFT 0.9.0
|
245 |
+
- Transformers 4.39.0.dev0
|
246 |
+
- Pytorch 2.1.0+cu121
|
247 |
+
- Datasets 2.18.0
|
248 |
+
- Tokenizers 0.15.2
|
adapter_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "bigcode/starcoder2-7b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 64,
|
13 |
+
"lora_dropout": 0.15,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 32,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"c_fc",
|
23 |
+
"o_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"k_proj",
|
27 |
+
"c_proj"
|
28 |
+
],
|
29 |
+
"task_type": "CAUSAL_LM",
|
30 |
+
"use_dora": false,
|
31 |
+
"use_rslora": false
|
32 |
+
}
|
adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bc16c87cc4e55e8b52d845df95957993632cd645300dde18af970b85430a49d3
|
3 |
+
size 306235552
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_loss": 0.6760696172714233,
|
4 |
+
"eval_runtime": 96.721,
|
5 |
+
"eval_samples_per_second": 7.206,
|
6 |
+
"eval_steps_per_second": 7.206,
|
7 |
+
"perplexity": 1.9661348634697817,
|
8 |
+
"total_flos": 8.111041940658586e+17,
|
9 |
+
"train_loss": 0.7353765367668783,
|
10 |
+
"train_runtime": 28019.6609,
|
11 |
+
"train_samples_per_second": 0.671,
|
12 |
+
"train_steps_per_second": 0.671
|
13 |
+
}
|
checkpoint-1000/README.md
ADDED
@@ -0,0 +1,204 @@
|
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|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: bigcode/starcoder2-7b
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.9.0
|
checkpoint-1000/adapter_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "bigcode/starcoder2-7b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 64,
|
13 |
+
"lora_dropout": 0.15,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 32,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"c_fc",
|
23 |
+
"o_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"k_proj",
|
27 |
+
"c_proj"
|
28 |
+
],
|
29 |
+
"task_type": "CAUSAL_LM",
|
30 |
+
"use_dora": false,
|
31 |
+
"use_rslora": false
|
32 |
+
}
|
checkpoint-1000/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3cf012786c99967b1faabcd02528ccb46bd8e1dda55139ee8c61333a072a9f7c
|
3 |
+
size 306235552
|
checkpoint-1000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-1000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:009f146f4255b0a1b95a91fd2fb1bf70dc089a13ad98bd2f64673ea1217bfca0
|
3 |
+
size 612692114
|
checkpoint-1000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
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version https://git-lfs.github.com/spec/v1
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checkpoint-1000/special_tokens_map.json
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checkpoint-1000/tokenizer_config.json
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}
|
checkpoint-1000/trainer_state.json
ADDED
@@ -0,0 +1,1501 @@
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"trial_name": null,
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"trial_params": null
|
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}
|
checkpoint-1000/training_args.bin
ADDED
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|
|
|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:aba1ff1fdda3287196c6ef142366a8ee27aa213077a93b2e39492dd1603ae72f
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size 5048
|
checkpoint-1000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-10000/README.md
ADDED
@@ -0,0 +1,204 @@
|
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: bigcode/starcoder2-7b
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.9.0
|
checkpoint-10000/adapter_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "bigcode/starcoder2-7b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 64,
|
13 |
+
"lora_dropout": 0.15,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 32,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"c_fc",
|
23 |
+
"o_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"k_proj",
|
27 |
+
"c_proj"
|
28 |
+
],
|
29 |
+
"task_type": "CAUSAL_LM",
|
30 |
+
"use_dora": false,
|
31 |
+
"use_rslora": false
|
32 |
+
}
|
checkpoint-10000/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
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1 |
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version https://git-lfs.github.com/spec/v1
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checkpoint-10000/merges.txt
ADDED
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See raw diff
|
|
checkpoint-10000/optimizer.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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checkpoint-10000/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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checkpoint-10000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-10000/special_tokens_map.json
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"<pr_diff_hunk>",
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30 |
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"<pr_event_id>",
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"<pr_review>",
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"<pr_review_state>",
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"<pr_review_comment>",
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"<pr_in_reply_to_comment_id>",
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"<pr_diff_hunk_comment_line>",
|
37 |
+
"<NAME>",
|
38 |
+
"<EMAIL>",
|
39 |
+
"<KEY>",
|
40 |
+
"<PASSWORD>"
|
41 |
+
],
|
42 |
+
"bos_token": {
|
43 |
+
"content": "<|endoftext|>",
|
44 |
+
"lstrip": false,
|
45 |
+
"normalized": false,
|
46 |
+
"rstrip": false,
|
47 |
+
"single_word": false
|
48 |
+
},
|
49 |
+
"eos_token": {
|
50 |
+
"content": "<|endoftext|>",
|
51 |
+
"lstrip": false,
|
52 |
+
"normalized": false,
|
53 |
+
"rstrip": false,
|
54 |
+
"single_word": false
|
55 |
+
},
|
56 |
+
"pad_token": "<|endoftext|>",
|
57 |
+
"unk_token": {
|
58 |
+
"content": "<|endoftext|>",
|
59 |
+
"lstrip": false,
|
60 |
+
"normalized": false,
|
61 |
+
"rstrip": false,
|
62 |
+
"single_word": false
|
63 |
+
}
|
64 |
+
}
|
checkpoint-10000/tokenizer_config.json
ADDED
@@ -0,0 +1,361 @@
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|
|
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|
|
|
|
|
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|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
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"added_tokens_decoder": {
|
5 |
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"0": {
|
6 |
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"content": "<|endoftext|>",
|
7 |
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"lstrip": false,
|
8 |
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"normalized": false,
|
9 |
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"rstrip": false,
|
10 |
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"single_word": false,
|
11 |
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"special": true
|
12 |
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},
|
13 |
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"1": {
|
14 |
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"content": "<fim_prefix>",
|
15 |
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"lstrip": false,
|
16 |
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"normalized": false,
|
17 |
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"rstrip": false,
|
18 |
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"single_word": false,
|
19 |
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"special": true
|
20 |
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},
|
21 |
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"2": {
|
22 |
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"content": "<fim_middle>",
|
23 |
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"lstrip": false,
|
24 |
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"normalized": false,
|
25 |
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"rstrip": false,
|
26 |
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"single_word": false,
|
27 |
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"special": true
|
28 |
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},
|
29 |
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"3": {
|
30 |
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"content": "<fim_suffix>",
|
31 |
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"lstrip": false,
|
32 |
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"normalized": false,
|
33 |
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"rstrip": false,
|
34 |
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"single_word": false,
|
35 |
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"special": true
|
36 |
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},
|
37 |
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"4": {
|
38 |
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"content": "<fim_pad>",
|
39 |
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"lstrip": false,
|
40 |
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"normalized": false,
|
41 |
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|
42 |
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"single_word": false,
|
43 |
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"special": true
|
44 |
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},
|
45 |
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"5": {
|
46 |
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"content": "<repo_name>",
|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
+
"special": true
|
52 |
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},
|
53 |
+
"6": {
|
54 |
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"content": "<file_sep>",
|
55 |
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"lstrip": false,
|
56 |
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|
57 |
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|
58 |
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|
59 |
+
"special": true
|
60 |
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},
|
61 |
+
"7": {
|
62 |
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"content": "<issue_start>",
|
63 |
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"lstrip": false,
|
64 |
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"normalized": false,
|
65 |
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"rstrip": false,
|
66 |
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|
67 |
+
"special": true
|
68 |
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},
|
69 |
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"8": {
|
70 |
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"content": "<issue_comment>",
|
71 |
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"lstrip": false,
|
72 |
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"normalized": false,
|
73 |
+
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|
74 |
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|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"9": {
|
78 |
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"content": "<issue_closed>",
|
79 |
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"lstrip": false,
|
80 |
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"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
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"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
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"10": {
|
86 |
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"content": "<jupyter_start>",
|
87 |
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"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
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|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
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"11": {
|
94 |
+
"content": "<jupyter_text>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
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"12": {
|
102 |
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"content": "<jupyter_code>",
|
103 |
+
"lstrip": false,
|
104 |
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"normalized": false,
|
105 |
+
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|
106 |
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"single_word": false,
|
107 |
+
"special": true
|
108 |
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},
|
109 |
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"13": {
|
110 |
+
"content": "<jupyter_output>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"14": {
|
118 |
+
"content": "<jupyter_script>",
|
119 |
+
"lstrip": false,
|
120 |
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|
121 |
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|
122 |
+
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|
123 |
+
"special": true
|
124 |
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},
|
125 |
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"15": {
|
126 |
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"content": "<empty_output>",
|
127 |
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|
128 |
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|
129 |
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|
130 |
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"single_word": false,
|
131 |
+
"special": true
|
132 |
+
},
|
133 |
+
"16": {
|
134 |
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"content": "<code_to_intermediate>",
|
135 |
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"lstrip": false,
|
136 |
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"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": true
|
140 |
+
},
|
141 |
+
"17": {
|
142 |
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"content": "<intermediate_to_code>",
|
143 |
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"lstrip": false,
|
144 |
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"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": true
|
148 |
+
},
|
149 |
+
"18": {
|
150 |
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"content": "<pr>",
|
151 |
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"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": true
|
156 |
+
},
|
157 |
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"19": {
|
158 |
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"content": "<pr_status>",
|
159 |
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"lstrip": false,
|
160 |
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"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": true
|
164 |
+
},
|
165 |
+
"20": {
|
166 |
+
"content": "<pr_is_merged>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": true
|
172 |
+
},
|
173 |
+
"21": {
|
174 |
+
"content": "<pr_base>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": true
|
180 |
+
},
|
181 |
+
"22": {
|
182 |
+
"content": "<pr_file>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": false,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": true
|
188 |
+
},
|
189 |
+
"23": {
|
190 |
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"content": "<pr_base_code>",
|
191 |
+
"lstrip": false,
|
192 |
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"normalized": false,
|
193 |
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"rstrip": false,
|
194 |
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"single_word": false,
|
195 |
+
"special": true
|
196 |
+
},
|
197 |
+
"24": {
|
198 |
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"content": "<pr_diff>",
|
199 |
+
"lstrip": false,
|
200 |
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"normalized": false,
|
201 |
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"rstrip": false,
|
202 |
+
"single_word": false,
|
203 |
+
"special": true
|
204 |
+
},
|
205 |
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"25": {
|
206 |
+
"content": "<pr_diff_hunk>",
|
207 |
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"lstrip": false,
|
208 |
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"normalized": false,
|
209 |
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"rstrip": false,
|
210 |
+
"single_word": false,
|
211 |
+
"special": true
|
212 |
+
},
|
213 |
+
"26": {
|
214 |
+
"content": "<pr_comment>",
|
215 |
+
"lstrip": false,
|
216 |
+
"normalized": false,
|
217 |
+
"rstrip": false,
|
218 |
+
"single_word": false,
|
219 |
+
"special": true
|
220 |
+
},
|
221 |
+
"27": {
|
222 |
+
"content": "<pr_event_id>",
|
223 |
+
"lstrip": false,
|
224 |
+
"normalized": false,
|
225 |
+
"rstrip": false,
|
226 |
+
"single_word": false,
|
227 |
+
"special": true
|
228 |
+
},
|
229 |
+
"28": {
|
230 |
+
"content": "<pr_review>",
|
231 |
+
"lstrip": false,
|
232 |
+
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|
233 |
+
"rstrip": false,
|
234 |
+
"single_word": false,
|
235 |
+
"special": true
|
236 |
+
},
|
237 |
+
"29": {
|
238 |
+
"content": "<pr_review_state>",
|
239 |
+
"lstrip": false,
|
240 |
+
"normalized": false,
|
241 |
+
"rstrip": false,
|
242 |
+
"single_word": false,
|
243 |
+
"special": true
|
244 |
+
},
|
245 |
+
"30": {
|
246 |
+
"content": "<pr_review_comment>",
|
247 |
+
"lstrip": false,
|
248 |
+
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|
249 |
+
"rstrip": false,
|
250 |
+
"single_word": false,
|
251 |
+
"special": true
|
252 |
+
},
|
253 |
+
"31": {
|
254 |
+
"content": "<pr_in_reply_to_review_id>",
|
255 |
+
"lstrip": false,
|
256 |
+
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|
257 |
+
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|
258 |
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|
259 |
+
"special": true
|
260 |
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},
|
261 |
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"32": {
|
262 |
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"content": "<pr_in_reply_to_comment_id>",
|
263 |
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|
264 |
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|
265 |
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|
266 |
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|
267 |
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"special": true
|
268 |
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|
269 |
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|
270 |
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"content": "<pr_diff_hunk_comment_line>",
|
271 |
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|
272 |
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|
273 |
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|
274 |
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|
275 |
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"special": true
|
276 |
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},
|
277 |
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"34": {
|
278 |
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"content": "<NAME>",
|
279 |
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|
280 |
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|
281 |
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|
282 |
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|
283 |
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|
284 |
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},
|
285 |
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"35": {
|
286 |
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"content": "<EMAIL>",
|
287 |
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|
288 |
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|
289 |
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|
290 |
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|
291 |
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|
292 |
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|
293 |
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"36": {
|
294 |
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"content": "<KEY>",
|
295 |
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|
296 |
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|
297 |
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|
298 |
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|
299 |
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|
300 |
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|
301 |
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"37": {
|
302 |
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"content": "<PASSWORD>",
|
303 |
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|
304 |
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|
305 |
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|
306 |
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"single_word": false,
|
307 |
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"special": true
|
308 |
+
}
|
309 |
+
},
|
310 |
+
"additional_special_tokens": [
|
311 |
+
"<|endoftext|>",
|
312 |
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"<fim_prefix>",
|
313 |
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"<fim_middle>",
|
314 |
+
"<fim_suffix>",
|
315 |
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"vocab_size": 49152
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|
checkpoint-10000/trainer_state.json
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checkpoint-10000/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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checkpoint-10000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
checkpoint-10500/README.md
ADDED
@@ -0,0 +1,204 @@
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: bigcode/starcoder2-7b
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.9.0
|
checkpoint-10500/adapter_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "bigcode/starcoder2-7b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 64,
|
13 |
+
"lora_dropout": 0.15,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 32,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"c_fc",
|
23 |
+
"o_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"k_proj",
|
27 |
+
"c_proj"
|
28 |
+
],
|
29 |
+
"task_type": "CAUSAL_LM",
|
30 |
+
"use_dora": false,
|
31 |
+
"use_rslora": false
|
32 |
+
}
|
checkpoint-10500/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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|
checkpoint-10500/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-10500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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checkpoint-10500/rng_state.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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|
checkpoint-10500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
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version https://git-lfs.github.com/spec/v1
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checkpoint-10500/special_tokens_map.json
ADDED
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|
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"<pr_file>",
|
26 |
+
"<pr_base_code>",
|
27 |
+
"<pr_diff>",
|
28 |
+
"<pr_diff_hunk>",
|
29 |
+
"<pr_comment>",
|
30 |
+
"<pr_event_id>",
|
31 |
+
"<pr_review>",
|
32 |
+
"<pr_review_state>",
|
33 |
+
"<pr_review_comment>",
|
34 |
+
"<pr_in_reply_to_review_id>",
|
35 |
+
"<pr_in_reply_to_comment_id>",
|
36 |
+
"<pr_diff_hunk_comment_line>",
|
37 |
+
"<NAME>",
|
38 |
+
"<EMAIL>",
|
39 |
+
"<KEY>",
|
40 |
+
"<PASSWORD>"
|
41 |
+
],
|
42 |
+
"bos_token": {
|
43 |
+
"content": "<|endoftext|>",
|
44 |
+
"lstrip": false,
|
45 |
+
"normalized": false,
|
46 |
+
"rstrip": false,
|
47 |
+
"single_word": false
|
48 |
+
},
|
49 |
+
"eos_token": {
|
50 |
+
"content": "<|endoftext|>",
|
51 |
+
"lstrip": false,
|
52 |
+
"normalized": false,
|
53 |
+
"rstrip": false,
|
54 |
+
"single_word": false
|
55 |
+
},
|
56 |
+
"pad_token": "<|endoftext|>",
|
57 |
+
"unk_token": {
|
58 |
+
"content": "<|endoftext|>",
|
59 |
+
"lstrip": false,
|
60 |
+
"normalized": false,
|
61 |
+
"rstrip": false,
|
62 |
+
"single_word": false
|
63 |
+
}
|
64 |
+
}
|
checkpoint-10500/tokenizer_config.json
ADDED
@@ -0,0 +1,361 @@
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|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<fim_prefix>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<fim_middle>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"3": {
|
30 |
+
"content": "<fim_suffix>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"4": {
|
38 |
+
"content": "<fim_pad>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"5": {
|
46 |
+
"content": "<repo_name>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"6": {
|
54 |
+
"content": "<file_sep>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"7": {
|
62 |
+
"content": "<issue_start>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"8": {
|
70 |
+
"content": "<issue_comment>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"9": {
|
78 |
+
"content": "<issue_closed>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"10": {
|
86 |
+
"content": "<jupyter_start>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"11": {
|
94 |
+
"content": "<jupyter_text>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"12": {
|
102 |
+
"content": "<jupyter_code>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"13": {
|
110 |
+
"content": "<jupyter_output>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"14": {
|
118 |
+
"content": "<jupyter_script>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
+
"single_word": false,
|
123 |
+
"special": true
|
124 |
+
},
|
125 |
+
"15": {
|
126 |
+
"content": "<empty_output>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": true
|
132 |
+
},
|
133 |
+
"16": {
|
134 |
+
"content": "<code_to_intermediate>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": true
|
140 |
+
},
|
141 |
+
"17": {
|
142 |
+
"content": "<intermediate_to_code>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": true
|
148 |
+
},
|
149 |
+
"18": {
|
150 |
+
"content": "<pr>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": true
|
156 |
+
},
|
157 |
+
"19": {
|
158 |
+
"content": "<pr_status>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": true
|
164 |
+
},
|
165 |
+
"20": {
|
166 |
+
"content": "<pr_is_merged>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": true
|
172 |
+
},
|
173 |
+
"21": {
|
174 |
+
"content": "<pr_base>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": true
|
180 |
+
},
|
181 |
+
"22": {
|
182 |
+
"content": "<pr_file>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": false,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": true
|
188 |
+
},
|
189 |
+
"23": {
|
190 |
+
"content": "<pr_base_code>",
|
191 |
+
"lstrip": false,
|
192 |
+
"normalized": false,
|
193 |
+
"rstrip": false,
|
194 |
+
"single_word": false,
|
195 |
+
"special": true
|
196 |
+
},
|
197 |
+
"24": {
|
198 |
+
"content": "<pr_diff>",
|
199 |
+
"lstrip": false,
|
200 |
+
"normalized": false,
|
201 |
+
"rstrip": false,
|
202 |
+
"single_word": false,
|
203 |
+
"special": true
|
204 |
+
},
|
205 |
+
"25": {
|
206 |
+
"content": "<pr_diff_hunk>",
|
207 |
+
"lstrip": false,
|
208 |
+
"normalized": false,
|
209 |
+
"rstrip": false,
|
210 |
+
"single_word": false,
|
211 |
+
"special": true
|
212 |
+
},
|
213 |
+
"26": {
|
214 |
+
"content": "<pr_comment>",
|
215 |
+
"lstrip": false,
|
216 |
+
"normalized": false,
|
217 |
+
"rstrip": false,
|
218 |
+
"single_word": false,
|
219 |
+
"special": true
|
220 |
+
},
|
221 |
+
"27": {
|
222 |
+
"content": "<pr_event_id>",
|
223 |
+
"lstrip": false,
|
224 |
+
"normalized": false,
|
225 |
+
"rstrip": false,
|
226 |
+
"single_word": false,
|
227 |
+
"special": true
|
228 |
+
},
|
229 |
+
"28": {
|
230 |
+
"content": "<pr_review>",
|
231 |
+
"lstrip": false,
|
232 |
+
"normalized": false,
|
233 |
+
"rstrip": false,
|
234 |
+
"single_word": false,
|
235 |
+
"special": true
|
236 |
+
},
|
237 |
+
"29": {
|
238 |
+
"content": "<pr_review_state>",
|
239 |
+
"lstrip": false,
|
240 |
+
"normalized": false,
|
241 |
+
"rstrip": false,
|
242 |
+
"single_word": false,
|
243 |
+
"special": true
|
244 |
+
},
|
245 |
+
"30": {
|
246 |
+
"content": "<pr_review_comment>",
|
247 |
+
"lstrip": false,
|
248 |
+
"normalized": false,
|
249 |
+
"rstrip": false,
|
250 |
+
"single_word": false,
|
251 |
+
"special": true
|
252 |
+
},
|
253 |
+
"31": {
|
254 |
+
"content": "<pr_in_reply_to_review_id>",
|
255 |
+
"lstrip": false,
|
256 |
+
"normalized": false,
|
257 |
+
"rstrip": false,
|
258 |
+
"single_word": false,
|
259 |
+
"special": true
|
260 |
+
},
|
261 |
+
"32": {
|
262 |
+
"content": "<pr_in_reply_to_comment_id>",
|
263 |
+
"lstrip": false,
|
264 |
+
"normalized": false,
|
265 |
+
"rstrip": false,
|
266 |
+
"single_word": false,
|
267 |
+
"special": true
|
268 |
+
},
|
269 |
+
"33": {
|
270 |
+
"content": "<pr_diff_hunk_comment_line>",
|
271 |
+
"lstrip": false,
|
272 |
+
"normalized": false,
|
273 |
+
"rstrip": false,
|
274 |
+
"single_word": false,
|
275 |
+
"special": true
|
276 |
+
},
|
277 |
+
"34": {
|
278 |
+
"content": "<NAME>",
|
279 |
+
"lstrip": false,
|
280 |
+
"normalized": false,
|
281 |
+
"rstrip": false,
|
282 |
+
"single_word": false,
|
283 |
+
"special": true
|
284 |
+
},
|
285 |
+
"35": {
|
286 |
+
"content": "<EMAIL>",
|
287 |
+
"lstrip": false,
|
288 |
+
"normalized": false,
|
289 |
+
"rstrip": false,
|
290 |
+
"single_word": false,
|
291 |
+
"special": true
|
292 |
+
},
|
293 |
+
"36": {
|
294 |
+
"content": "<KEY>",
|
295 |
+
"lstrip": false,
|
296 |
+
"normalized": false,
|
297 |
+
"rstrip": false,
|
298 |
+
"single_word": false,
|
299 |
+
"special": true
|
300 |
+
},
|
301 |
+
"37": {
|
302 |
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"content": "<PASSWORD>",
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"vocab_size": 49152
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|
checkpoint-10500/trainer_state.json
ADDED
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checkpoint-10500/training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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checkpoint-10500/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
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|
checkpoint-11000/README.md
ADDED
@@ -0,0 +1,204 @@
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|
1 |
+
---
|
2 |
+
library_name: peft
|
3 |
+
base_model: bigcode/starcoder2-7b
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
|
201 |
+
|
202 |
+
### Framework versions
|
203 |
+
|
204 |
+
- PEFT 0.9.0
|
checkpoint-11000/adapter_config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "bigcode/starcoder2-7b",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": false,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layers_pattern": null,
|
10 |
+
"layers_to_transform": null,
|
11 |
+
"loftq_config": {},
|
12 |
+
"lora_alpha": 64,
|
13 |
+
"lora_dropout": 0.15,
|
14 |
+
"megatron_config": null,
|
15 |
+
"megatron_core": "megatron.core",
|
16 |
+
"modules_to_save": null,
|
17 |
+
"peft_type": "LORA",
|
18 |
+
"r": 32,
|
19 |
+
"rank_pattern": {},
|
20 |
+
"revision": null,
|
21 |
+
"target_modules": [
|
22 |
+
"c_fc",
|
23 |
+
"o_proj",
|
24 |
+
"q_proj",
|
25 |
+
"v_proj",
|
26 |
+
"k_proj",
|
27 |
+
"c_proj"
|
28 |
+
],
|
29 |
+
"task_type": "CAUSAL_LM",
|
30 |
+
"use_dora": false,
|
31 |
+
"use_rslora": false
|
32 |
+
}
|
checkpoint-11000/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
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|
|
1 |
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version https://git-lfs.github.com/spec/v1
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|
checkpoint-11000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-11000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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checkpoint-11000/rng_state.pth
ADDED
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1 |
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version https://git-lfs.github.com/spec/v1
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checkpoint-11000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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checkpoint-11000/special_tokens_map.json
ADDED
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{
|
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3 |
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|
4 |
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|
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|
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|
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|
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"<jupyter_text>",
|
15 |
+
"<jupyter_code>",
|
16 |
+
"<jupyter_output>",
|
17 |
+
"<jupyter_script>",
|
18 |
+
"<empty_output>",
|
19 |
+
"<code_to_intermediate>",
|
20 |
+
"<intermediate_to_code>",
|
21 |
+
"<pr>",
|
22 |
+
"<pr_status>",
|
23 |
+
"<pr_is_merged>",
|
24 |
+
"<pr_base>",
|
25 |
+
"<pr_file>",
|
26 |
+
"<pr_base_code>",
|
27 |
+
"<pr_diff>",
|
28 |
+
"<pr_diff_hunk>",
|
29 |
+
"<pr_comment>",
|
30 |
+
"<pr_event_id>",
|
31 |
+
"<pr_review>",
|
32 |
+
"<pr_review_state>",
|
33 |
+
"<pr_review_comment>",
|
34 |
+
"<pr_in_reply_to_review_id>",
|
35 |
+
"<pr_in_reply_to_comment_id>",
|
36 |
+
"<pr_diff_hunk_comment_line>",
|
37 |
+
"<NAME>",
|
38 |
+
"<EMAIL>",
|
39 |
+
"<KEY>",
|
40 |
+
"<PASSWORD>"
|
41 |
+
],
|
42 |
+
"bos_token": {
|
43 |
+
"content": "<|endoftext|>",
|
44 |
+
"lstrip": false,
|
45 |
+
"normalized": false,
|
46 |
+
"rstrip": false,
|
47 |
+
"single_word": false
|
48 |
+
},
|
49 |
+
"eos_token": {
|
50 |
+
"content": "<|endoftext|>",
|
51 |
+
"lstrip": false,
|
52 |
+
"normalized": false,
|
53 |
+
"rstrip": false,
|
54 |
+
"single_word": false
|
55 |
+
},
|
56 |
+
"pad_token": "<|endoftext|>",
|
57 |
+
"unk_token": {
|
58 |
+
"content": "<|endoftext|>",
|
59 |
+
"lstrip": false,
|
60 |
+
"normalized": false,
|
61 |
+
"rstrip": false,
|
62 |
+
"single_word": false
|
63 |
+
}
|
64 |
+
}
|
checkpoint-11000/tokenizer_config.json
ADDED
@@ -0,0 +1,361 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<fim_prefix>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "<fim_middle>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"3": {
|
30 |
+
"content": "<fim_suffix>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
+
"special": true
|
36 |
+
},
|
37 |
+
"4": {
|
38 |
+
"content": "<fim_pad>",
|
39 |
+
"lstrip": false,
|
40 |
+
"normalized": false,
|
41 |
+
"rstrip": false,
|
42 |
+
"single_word": false,
|
43 |
+
"special": true
|
44 |
+
},
|
45 |
+
"5": {
|
46 |
+
"content": "<repo_name>",
|
47 |
+
"lstrip": false,
|
48 |
+
"normalized": false,
|
49 |
+
"rstrip": false,
|
50 |
+
"single_word": false,
|
51 |
+
"special": true
|
52 |
+
},
|
53 |
+
"6": {
|
54 |
+
"content": "<file_sep>",
|
55 |
+
"lstrip": false,
|
56 |
+
"normalized": false,
|
57 |
+
"rstrip": false,
|
58 |
+
"single_word": false,
|
59 |
+
"special": true
|
60 |
+
},
|
61 |
+
"7": {
|
62 |
+
"content": "<issue_start>",
|
63 |
+
"lstrip": false,
|
64 |
+
"normalized": false,
|
65 |
+
"rstrip": false,
|
66 |
+
"single_word": false,
|
67 |
+
"special": true
|
68 |
+
},
|
69 |
+
"8": {
|
70 |
+
"content": "<issue_comment>",
|
71 |
+
"lstrip": false,
|
72 |
+
"normalized": false,
|
73 |
+
"rstrip": false,
|
74 |
+
"single_word": false,
|
75 |
+
"special": true
|
76 |
+
},
|
77 |
+
"9": {
|
78 |
+
"content": "<issue_closed>",
|
79 |
+
"lstrip": false,
|
80 |
+
"normalized": false,
|
81 |
+
"rstrip": false,
|
82 |
+
"single_word": false,
|
83 |
+
"special": true
|
84 |
+
},
|
85 |
+
"10": {
|
86 |
+
"content": "<jupyter_start>",
|
87 |
+
"lstrip": false,
|
88 |
+
"normalized": false,
|
89 |
+
"rstrip": false,
|
90 |
+
"single_word": false,
|
91 |
+
"special": true
|
92 |
+
},
|
93 |
+
"11": {
|
94 |
+
"content": "<jupyter_text>",
|
95 |
+
"lstrip": false,
|
96 |
+
"normalized": false,
|
97 |
+
"rstrip": false,
|
98 |
+
"single_word": false,
|
99 |
+
"special": true
|
100 |
+
},
|
101 |
+
"12": {
|
102 |
+
"content": "<jupyter_code>",
|
103 |
+
"lstrip": false,
|
104 |
+
"normalized": false,
|
105 |
+
"rstrip": false,
|
106 |
+
"single_word": false,
|
107 |
+
"special": true
|
108 |
+
},
|
109 |
+
"13": {
|
110 |
+
"content": "<jupyter_output>",
|
111 |
+
"lstrip": false,
|
112 |
+
"normalized": false,
|
113 |
+
"rstrip": false,
|
114 |
+
"single_word": false,
|
115 |
+
"special": true
|
116 |
+
},
|
117 |
+
"14": {
|
118 |
+
"content": "<jupyter_script>",
|
119 |
+
"lstrip": false,
|
120 |
+
"normalized": false,
|
121 |
+
"rstrip": false,
|
122 |
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"single_word": false,
|
123 |
+
"special": true
|
124 |
+
},
|
125 |
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"15": {
|
126 |
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"content": "<empty_output>",
|
127 |
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"lstrip": false,
|
128 |
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|
129 |
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"rstrip": false,
|
130 |
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"single_word": false,
|
131 |
+
"special": true
|
132 |
+
},
|
133 |
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"16": {
|
134 |
+
"content": "<code_to_intermediate>",
|
135 |
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"lstrip": false,
|
136 |
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"normalized": false,
|
137 |
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|
138 |
+
"single_word": false,
|
139 |
+
"special": true
|
140 |
+
},
|
141 |
+
"17": {
|
142 |
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"content": "<intermediate_to_code>",
|
143 |
+
"lstrip": false,
|
144 |
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"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": true
|
148 |
+
},
|
149 |
+
"18": {
|
150 |
+
"content": "<pr>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": true
|
156 |
+
},
|
157 |
+
"19": {
|
158 |
+
"content": "<pr_status>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": true
|
164 |
+
},
|
165 |
+
"20": {
|
166 |
+
"content": "<pr_is_merged>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": true
|
172 |
+
},
|
173 |
+
"21": {
|
174 |
+
"content": "<pr_base>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": true
|
180 |
+
},
|
181 |
+
"22": {
|
182 |
+
"content": "<pr_file>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": false,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": true
|
188 |
+
},
|
189 |
+
"23": {
|
190 |
+
"content": "<pr_base_code>",
|
191 |
+
"lstrip": false,
|
192 |
+
"normalized": false,
|
193 |
+
"rstrip": false,
|
194 |
+
"single_word": false,
|
195 |
+
"special": true
|
196 |
+
},
|
197 |
+
"24": {
|
198 |
+
"content": "<pr_diff>",
|
199 |
+
"lstrip": false,
|
200 |
+
"normalized": false,
|
201 |
+
"rstrip": false,
|
202 |
+
"single_word": false,
|
203 |
+
"special": true
|
204 |
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},
|
205 |
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"25": {
|
206 |
+
"content": "<pr_diff_hunk>",
|
207 |
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"lstrip": false,
|
208 |
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"normalized": false,
|
209 |
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"rstrip": false,
|
210 |
+
"single_word": false,
|
211 |
+
"special": true
|
212 |
+
},
|
213 |
+
"26": {
|
214 |
+
"content": "<pr_comment>",
|
215 |
+
"lstrip": false,
|
216 |
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|
217 |
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|
218 |
+
"single_word": false,
|
219 |
+
"special": true
|
220 |
+
},
|
221 |
+
"27": {
|
222 |
+
"content": "<pr_event_id>",
|
223 |
+
"lstrip": false,
|
224 |
+
"normalized": false,
|
225 |
+
"rstrip": false,
|
226 |
+
"single_word": false,
|
227 |
+
"special": true
|
228 |
+
},
|
229 |
+
"28": {
|
230 |
+
"content": "<pr_review>",
|
231 |
+
"lstrip": false,
|
232 |
+
"normalized": false,
|
233 |
+
"rstrip": false,
|
234 |
+
"single_word": false,
|
235 |
+
"special": true
|
236 |
+
},
|
237 |
+
"29": {
|
238 |
+
"content": "<pr_review_state>",
|
239 |
+
"lstrip": false,
|
240 |
+
"normalized": false,
|
241 |
+
"rstrip": false,
|
242 |
+
"single_word": false,
|
243 |
+
"special": true
|
244 |
+
},
|
245 |
+
"30": {
|
246 |
+
"content": "<pr_review_comment>",
|
247 |
+
"lstrip": false,
|
248 |
+
"normalized": false,
|
249 |
+
"rstrip": false,
|
250 |
+
"single_word": false,
|
251 |
+
"special": true
|
252 |
+
},
|
253 |
+
"31": {
|
254 |
+
"content": "<pr_in_reply_to_review_id>",
|
255 |
+
"lstrip": false,
|
256 |
+
"normalized": false,
|
257 |
+
"rstrip": false,
|
258 |
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|
259 |
+
"special": true
|
260 |
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},
|
261 |
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"32": {
|
262 |
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"content": "<pr_in_reply_to_comment_id>",
|
263 |
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|
264 |
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|
265 |
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|
266 |
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|
267 |
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"special": true
|
268 |
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},
|
269 |
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"33": {
|
270 |
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"content": "<pr_diff_hunk_comment_line>",
|
271 |
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"lstrip": false,
|
272 |
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|
273 |
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|
274 |
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"single_word": false,
|
275 |
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"special": true
|
276 |
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},
|
277 |
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"34": {
|
278 |
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"content": "<NAME>",
|
279 |
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"lstrip": false,
|
280 |
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|
281 |
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|
282 |
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|
283 |
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"special": true
|
284 |
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},
|
285 |
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"35": {
|
286 |
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"content": "<EMAIL>",
|
287 |
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"lstrip": false,
|
288 |
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"normalized": false,
|
289 |
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"rstrip": false,
|
290 |
+
"single_word": false,
|
291 |
+
"special": true
|
292 |
+
},
|
293 |
+
"36": {
|
294 |
+
"content": "<KEY>",
|
295 |
+
"lstrip": false,
|
296 |
+
"normalized": false,
|
297 |
+
"rstrip": false,
|
298 |
+
"single_word": false,
|
299 |
+
"special": true
|
300 |
+
},
|
301 |
+
"37": {
|
302 |
+
"content": "<PASSWORD>",
|
303 |
+
"lstrip": false,
|
304 |
+
"normalized": false,
|
305 |
+
"rstrip": false,
|
306 |
+
"single_word": false,
|
307 |
+
"special": true
|
308 |
+
}
|
309 |
+
},
|
310 |
+
"additional_special_tokens": [
|
311 |
+
"<|endoftext|>",
|
312 |
+
"<fim_prefix>",
|
313 |
+
"<fim_middle>",
|
314 |
+
"<fim_suffix>",
|
315 |
+
"<fim_pad>",
|
316 |
+
"<repo_name>",
|
317 |
+
"<file_sep>",
|
318 |
+
"<issue_start>",
|
319 |
+
"<issue_comment>",
|
320 |
+
"<issue_closed>",
|
321 |
+
"<jupyter_start>",
|
322 |
+
"<jupyter_text>",
|
323 |
+
"<jupyter_code>",
|
324 |
+
"<jupyter_output>",
|
325 |
+
"<jupyter_script>",
|
326 |
+
"<empty_output>",
|
327 |
+
"<code_to_intermediate>",
|
328 |
+
"<intermediate_to_code>",
|
329 |
+
"<pr>",
|
330 |
+
"<pr_status>",
|
331 |
+
"<pr_is_merged>",
|
332 |
+
"<pr_base>",
|
333 |
+
"<pr_file>",
|
334 |
+
"<pr_base_code>",
|
335 |
+
"<pr_diff>",
|
336 |
+
"<pr_diff_hunk>",
|
337 |
+
"<pr_comment>",
|
338 |
+
"<pr_event_id>",
|
339 |
+
"<pr_review>",
|
340 |
+
"<pr_review_state>",
|
341 |
+
"<pr_review_comment>",
|
342 |
+
"<pr_in_reply_to_review_id>",
|
343 |
+
"<pr_in_reply_to_comment_id>",
|
344 |
+
"<pr_diff_hunk_comment_line>",
|
345 |
+
"<NAME>",
|
346 |
+
"<EMAIL>",
|
347 |
+
"<KEY>",
|
348 |
+
"<PASSWORD>"
|
349 |
+
],
|
350 |
+
"bos_token": "<|endoftext|>",
|
351 |
+
"clean_up_tokenization_spaces": true,
|
352 |
+
"eos_token": "<|endoftext|>",
|
353 |
+
"errors": "replace",
|
354 |
+
"model_max_length": 1000000000000000019884624838656,
|
355 |
+
"pad_token": "<|endoftext|>",
|
356 |
+
"padding_side": "right",
|
357 |
+
"split_special_tokens": false,
|
358 |
+
"tokenizer_class": "GPT2Tokenizer",
|
359 |
+
"unk_token": "<|endoftext|>",
|
360 |
+
"vocab_size": 49152
|
361 |
+
}
|
checkpoint-11000/trainer_state.json
ADDED
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|
|