Commit
•
7d11372
1
Parent(s):
602c1cf
Model save
Browse files- README.md +76 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +392 -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_60-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_60-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 an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3285
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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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| 1.5831 | 0.8696 | 5 | 1.5868 |
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| 1.4338 | 1.9130 | 11 | 1.2779 |
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| 1.0588 | 2.9565 | 17 | 1.0678 |
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| 0.9374 | 4.0 | 23 | 1.0078 |
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| 0.7559 | 4.8696 | 28 | 0.9772 |
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| 0.6571 | 5.9130 | 34 | 0.9865 |
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| 0.4598 | 6.9565 | 40 | 1.0228 |
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| 0.3646 | 8.0 | 46 | 1.1915 |
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| 0.2273 | 8.8696 | 51 | 1.4645 |
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| 0.1298 | 9.9130 | 57 | 1.8402 |
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| 0.0881 | 10.9565 | 63 | 2.1073 |
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| 0.0555 | 12.0 | 69 | 2.3285 |
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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 sha256:59f3edf3c5df27309e38fc281bc6e3e55b54cd34fa3aeba378b27fc2f8ab7aa7
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size 83115256
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all_results.json
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{
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"epoch": 12.0,
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"total_flos": 2356609663631360.0,
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"train_loss": 0.6664440068213836,
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"train_runtime": 251.8108,
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"train_samples": 46,
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"train_samples_per_second": 9.134,
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"train_steps_per_second": 0.993
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}
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train_results.json
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{
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"epoch": 12.0,
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"total_flos": 2356609663631360.0,
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"train_loss": 0.6664440068213836,
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"train_runtime": 251.8108,
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"train_samples": 46,
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"train_samples_per_second": 9.134,
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"train_steps_per_second": 0.993
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}
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trainer_state.json
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{
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"best_metric": 0.9771736264228821,
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"best_model_checkpoint": "data/Gemma-2-2B_task-1_60-samples_config-1_auto/checkpoint-28",
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"epoch": 12.0,
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| 5 |
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"eval_steps": 500,
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"global_step": 69,
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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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"eval_runtime": 1.1144,
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"eval_samples_per_second": 10.768,
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"eval_steps_per_second": 10.768,
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"step": 5
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{
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"learning_rate": 2.4e-05,
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"loss": 1.6549,
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{
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},
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{
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{
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"epoch": 1.9130434782608696,
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