Commit
•
bf914af
1
Parent(s):
b5d23de
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 +511 -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-2_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-2_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: 2.2026
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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: 16
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- total_train_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: 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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| 1.6536 | 0.9412 | 8 | 1.6148 |
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| 1.2068 | 2.0 | 17 | 1.1807 |
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| 1.099 | 2.9412 | 25 | 1.0637 |
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| 0.9298 | 4.0 | 34 | 1.0063 |
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| 0.831 | 4.9412 | 42 | 0.9777 |
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| 0.7592 | 6.0 | 51 | 0.9821 |
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| 0.5722 | 6.9412 | 59 | 1.0386 |
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| 0.4793 | 8.0 | 68 | 1.2374 |
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| 0.3157 | 8.9412 | 76 | 1.4530 |
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| 0.2078 | 10.0 | 85 | 1.8075 |
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| 0.1328 | 10.9412 | 93 | 2.0376 |
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| 0.0699 | 12.0 | 102 | 2.2026 |
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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:f9679f82c3ff7ec2fc06c1849a0213536a308c9fa5838ecbce9f008429907f54
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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": 7235055271280640.0,
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"train_loss": 0.6960301403613651,
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"train_runtime": 697.0571,
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"train_samples": 136,
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"train_samples_per_second": 9.755,
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"train_steps_per_second": 0.574
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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": 7235055271280640.0,
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"train_loss": 0.6960301403613651,
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"train_runtime": 697.0571,
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"train_samples": 136,
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"train_samples_per_second": 9.755,
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"train_steps_per_second": 0.574
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}
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trainer_state.json
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|
| 1 |
+
{
|
| 2 |
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"best_metric": 0.9777191877365112,
|
| 3 |
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"best_model_checkpoint": "data/Gemma-2-2B_task-1_180-samples_config-2_auto/checkpoint-42",
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| 4 |
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"epoch": 12.0,
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| 5 |
+
"eval_steps": 500,
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| 6 |
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"global_step": 102,
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| 7 |
+
"is_hyper_param_search": false,
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| 8 |
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"is_local_process_zero": true,
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| 9 |
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"is_world_process_zero": true,
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| 10 |
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"log_history": [
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| 11 |
+
{
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| 12 |
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"epoch": 0.11764705882352941,
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