GaetanMichelet
commited on
Commit
•
538a2a9
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Parent(s):
b1efbd3
Model save
Browse files- README.md +75 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +797 -0
README.md
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---
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base_model: google/gemma-2-2b-it
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library_name: peft
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license: gemma
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: Gemma-2-2B_task-1_180-samples_config-1_auto
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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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# Gemma-2-2B_task-1_180-samples_config-1_auto
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This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1555
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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: 0.0001
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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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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 8
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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: 50
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.4834 | 1.0 | 17 | 1.4382 |
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| 1.0602 | 2.0 | 34 | 1.0723 |
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| 0.9602 | 3.0 | 51 | 0.9960 |
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| 0.8255 | 4.0 | 68 | 0.9752 |
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| 0.6121 | 5.0 | 85 | 1.0406 |
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| 0.5169 | 6.0 | 102 | 1.2142 |
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| 0.2771 | 7.0 | 119 | 1.5290 |
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| 0.173 | 8.0 | 136 | 1.7919 |
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| 0.1303 | 9.0 | 153 | 2.1345 |
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| 0.0888 | 10.0 | 170 | 2.1369 |
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| 0.0918 | 11.0 | 187 | 2.1555 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.1.2+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 83115256
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version https://git-lfs.github.com/spec/v1
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oid sha256:b063e550b8cd2c09d34f7c6126215450d8e67f5bb303d6c983ba301529b7bf28
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size 83115256
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all_results.json
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{
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"epoch": 11.0,
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"total_flos": 6632133967740928.0,
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"train_loss": 0.5791426639067617,
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"train_runtime": 644.3454,
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"train_samples": 136,
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"train_samples_per_second": 10.553,
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"train_steps_per_second": 1.319
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}
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train_results.json
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{
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"epoch": 11.0,
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"total_flos": 6632133967740928.0,
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"train_loss": 0.5791426639067617,
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"train_runtime": 644.3454,
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"train_samples": 136,
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"train_samples_per_second": 10.553,
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"train_steps_per_second": 1.319
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}
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trainer_state.json
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{
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"best_metric": 0.9751780033111572,
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+
"best_model_checkpoint": "data/Gemma-2-2B_task-1_180-samples_config-1_auto/checkpoint-68",
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"epoch": 11.0,
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"eval_steps": 500,
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"global_step": 187,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.058823529411764705,
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"grad_norm": 1.7832472324371338,
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"learning_rate": 1.1764705882352942e-06,
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"loss": 1.542,
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"step": 1
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},
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{
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"epoch": 0.11764705882352941,
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"grad_norm": 1.7133058309555054,
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"learning_rate": 2.3529411764705885e-06,
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"loss": 1.6612,
|
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"step": 2
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},
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{
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