Bram Vanroy
commited on
Commit
•
8628592
1
Parent(s):
30d7874
init model
Browse files- README.md +84 -1
- all_results.json +14 -0
- config.json +33 -0
- eval_results.json +9 -0
- generation_config.json +6 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +202 -0
- special_tokens_map.json +16 -0
- tokenizer.json +0 -0
- tokenizer_config.json +7 -0
- train_results.json +8 -0
- trainer_state.json +3225 -0
- training_args.bin +3 -0
README.md
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---
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-
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---
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---
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tags:
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- generated_from_trainer
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datasets:
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- BramVanroy/alpaca-dolly-dutch
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model-index:
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- name: 1e-3lr+512tbs@4n4gpus80
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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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# 1e-3lr+512tbs@4n4gpus80
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This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the BramVanroy/alpaca-dolly-dutch dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2612
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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: 0.001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- total_train_batch_size: 512
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- total_eval_batch_size: 512
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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: 0.03
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.8677 | 0.16 | 20 | 1.6766 |
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| 1.5635 | 0.32 | 40 | 1.5643 |
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| 1.6353 | 0.48 | 60 | 1.4980 |
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| 1.5166 | 0.65 | 80 | 1.4516 |
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| 1.4287 | 0.81 | 100 | 1.4096 |
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| 1.5791 | 0.97 | 120 | 1.3802 |
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| 1.3911 | 1.13 | 140 | 1.3633 |
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| 1.356 | 1.29 | 160 | 1.3419 |
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| 1.2524 | 1.45 | 180 | 1.3263 |
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| 1.4224 | 1.61 | 200 | 1.3056 |
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| 1.2266 | 1.77 | 220 | 1.2897 |
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| 1.3242 | 1.94 | 240 | 1.2785 |
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| 1.03 | 2.1 | 260 | 1.2957 |
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| 1.1643 | 2.26 | 280 | 1.2970 |
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| 1.1492 | 2.42 | 300 | 1.2779 |
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| 1.0679 | 2.58 | 320 | 1.2770 |
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| 1.2695 | 2.74 | 340 | 1.2658 |
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| 1.0439 | 2.9 | 360 | 1.2612 |
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| 0.9453 | 3.06 | 380 | 1.3157 |
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| 0.8494 | 3.23 | 400 | 1.3189 |
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| 1.0745 | 3.39 | 420 | 1.3073 |
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| 0.8679 | 3.55 | 440 | 1.3019 |
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| 1.0569 | 3.71 | 460 | 1.2955 |
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| 1.0186 | 3.87 | 480 | 1.2890 |
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| 0.8413 | 4.03 | 500 | 1.3445 |
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### Framework versions
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- Transformers 4.30.1
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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all_results.json
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{
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"epoch": 4.03,
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"eval_loss": 1.2611794471740723,
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"eval_runtime": 25.4151,
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"eval_samples": 3332,
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"eval_samples_per_second": 131.103,
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"eval_steps_per_second": 0.275,
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"perplexity": 3.5295819888396176,
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"train_loss": 1.25592919921875,
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"train_runtime": 8163.1704,
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"train_samples": 63101,
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"train_samples_per_second": 154.599,
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"train_steps_per_second": 0.304
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}
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config.json
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{
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"_name_or_path": "ybelkada/falcon-7b-sharded-bf16",
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"alibi": false,
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"RWForCausalLM"
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],
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"attention_dropout": 0.0,
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"auto_map": {
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"AutoConfig": "tiiuae/falcon-7b--configuration_RW.RWConfig",
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"AutoModel": "tiiuae/falcon-7b--modelling_RW.RWModel",
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"AutoModelForCausalLM": "tiiuae/falcon-7b--modelling_RW.RWForCausalLM",
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"AutoModelForQuestionAnswering": "tiiuae/falcon-7b--modelling_RW.RWForQuestionAnswering",
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"AutoModelForSequenceClassification": "tiiuae/falcon-7b--modelling_RW.RWForSequenceClassification",
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"AutoModelForTokenClassification": "tiiuae/falcon-7b--modelling_RW.RWForTokenClassification"
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},
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"bias": false,
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"bos_token_id": 11,
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"eos_token_id": 11,
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"hidden_dropout": 0.0,
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"hidden_size": 4544,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"model_type": "RefinedWebModel",
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"multi_query": true,
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"n_head": 71,
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"n_layer": 32,
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"parallel_attn": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.30.1",
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"use_cache": true,
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"vocab_size": 65024
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}
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eval_results.json
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{
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"epoch": 4.03,
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"eval_loss": 1.2611794471740723,
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"eval_runtime": 25.4151,
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"eval_samples": 3332,
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"eval_samples_per_second": 131.103,
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"eval_steps_per_second": 0.275,
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"perplexity": 3.5295819888396176
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}
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generation_config.json
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{
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"transformers_version": "4.30.1"
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}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e4e3738b284ef25022b8e199f3679c551c395d23dc7f2b12cbf0f6454bdccc05
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size 9950994832
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:72f95161dc905c3ca4814d3bc158aea416daeba422ff52087251d89d3688c0ef
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model.safetensors.index.json
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tokenizer.json
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tokenizer_config.json
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trainer_state.json
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