Commit
•
d08e0f7
1
Parent(s):
f651968
Model save
Browse files
README.md
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---
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license: llama2
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base_model: llama-2-nl/Llama-2-7b-hf-lora-original-sft
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: Llama-2-7b-hf-lora-original-it
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# Llama-2-7b-hf-lora-original-it
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This model is a fine-tuned version of [llama-2-nl/Llama-2-7b-hf-lora-original-sft](https://huggingface.co/llama-2-nl/Llama-2-7b-hf-lora-original-sft) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3540
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- Rewards/chosen: 0.1166
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- Rewards/rejected: -0.9259
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- Rewards/accuracies: 0.9396
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- Rewards/margins: 1.0425
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- Logps/rejected: -547.4224
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- Logps/chosen: -600.8121
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- Logits/rejected: -0.8736
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- Logits/chosen: -0.9600
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.5984 | 0.1327 | 100 | 0.5904 | 0.0549 | -0.1735 | 0.9030 | 0.2283 | -539.8975 | -601.4293 | -1.1606 | -1.1395 |
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| 0.4622 | 0.2653 | 200 | 0.4581 | 0.1134 | -0.4980 | 0.9351 | 0.6113 | -543.1426 | -600.8441 | -1.2714 | -1.2180 |
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| 0.3934 | 0.3980 | 300 | 0.3959 | 0.1263 | -0.7212 | 0.9366 | 0.8475 | -545.3747 | -600.7144 | -1.0528 | -1.0755 |
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| 0.3629 | 0.5307 | 400 | 0.3674 | 0.1170 | -0.8608 | 0.9381 | 0.9777 | -546.7705 | -600.8080 | -1.1109 | -1.1154 |
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| 0.3556 | 0.6633 | 500 | 0.3561 | 0.1136 | -0.9146 | 0.9388 | 1.0282 | -547.3090 | -600.8419 | -0.8266 | -0.9289 |
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| 0.3488 | 0.7960 | 600 | 0.3540 | 0.1104 | -0.9310 | 0.9410 | 1.0415 | -547.4734 | -600.8737 | -1.0676 | -1.0877 |
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| 0.3563 | 0.9287 | 700 | 0.3540 | 0.1166 | -0.9259 | 0.9396 | 1.0425 | -547.4224 | -600.8121 | -0.8736 | -0.9600 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9990049751243781,
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"total_flos": 0.0,
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"train_loss": 0.4291752041731856,
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"train_runtime": 22849.6211,
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"train_samples": 48227,
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"train_samples_per_second": 2.111,
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"train_steps_per_second": 0.033
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}
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runs/May20_00-51-42_gpu530.dodrio.os/events.out.tfevents.1716160119.gpu530.dodrio.os.1926607.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d202074ab4ae56d82d901450a52c38c647e371ba23392ab84221fbd7bfab1d5
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size 62846
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train_results.json
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{
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"epoch": 0.9990049751243781,
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"total_flos": 0.0,
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"train_loss": 0.4291752041731856,
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"train_runtime": 22849.6211,
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"train_samples": 48227,
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"train_samples_per_second": 2.111,
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"train_steps_per_second": 0.033
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}
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trainer_state.json
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| 1 |
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