Commit
•
1d368a6
1
Parent(s):
27bbf7e
Model save
Browse files- README.md +83 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +399 -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-2_60-samples_config-2
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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-2_60-samples_config-2
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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: 0.8808
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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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| 1.0008 | 0.6957 | 2 | 1.0610 |
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| 0.9848 | 1.7391 | 5 | 1.0090 |
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| 0.8909 | 2.7826 | 8 | 0.8771 |
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| 0.7601 | 3.8261 | 11 | 0.8055 |
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| 0.7251 | 4.8696 | 14 | 0.7676 |
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| 0.6518 | 5.9130 | 17 | 0.7352 |
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| 0.6256 | 6.9565 | 20 | 0.7191 |
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| 0.5985 | 8.0 | 23 | 0.7080 |
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| 0.5809 | 8.6957 | 25 | 0.7035 |
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| 0.5221 | 9.7391 | 28 | 0.6958 |
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| 0.5052 | 10.7826 | 31 | 0.6939 |
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| 0.4727 | 11.8261 | 34 | 0.6932 |
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| 0.4384 | 12.8696 | 37 | 0.6968 |
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| 0.4074 | 13.9130 | 40 | 0.7064 |
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| 0.3396 | 14.9565 | 43 | 0.7210 |
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| 0.3296 | 16.0 | 46 | 0.7495 |
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| 0.2865 | 16.6957 | 48 | 0.7752 |
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| 0.2732 | 17.7391 | 51 | 0.8188 |
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| 0.2207 | 18.7826 | 54 | 0.8808 |
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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:de97d53618d021cdc61456649c3c117daa96cf69a55273d5844c28900994cd70
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size 83115256
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all_results.json
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{
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"epoch": 18.782608695652176,
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"total_flos": 2.895737692094464e+16,
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"train_loss": 0.5615027408908915,
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"train_runtime": 1252.9206,
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"train_samples": 46,
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"train_samples_per_second": 1.836,
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"train_steps_per_second": 0.08
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}
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train_results.json
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{
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"epoch": 18.782608695652176,
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"total_flos": 2.895737692094464e+16,
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"train_loss": 0.5615027408908915,
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"train_runtime": 1252.9206,
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"train_samples": 46,
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"train_samples_per_second": 1.836,
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"train_steps_per_second": 0.08
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}
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trainer_state.json
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{
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"best_metric": 0.6932449340820312,
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| 3 |
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"best_model_checkpoint": "data/Gemma-2-2B_task-2_60-samples_config-2/checkpoint-34",
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| 4 |
+
"epoch": 18.782608695652176,
|
| 5 |
+
"eval_steps": 500,
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| 6 |
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"global_step": 54,
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| 7 |
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"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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{
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"epoch": 0.34782608695652173,
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| 13 |
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"grad_norm": 0.848487138748169,
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| 14 |
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"learning_rate": 1e-05,
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| 15 |
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"loss": 1.056,
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| 16 |
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"step": 1
|
| 17 |
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.6956521739130435,
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| 20 |
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"grad_norm": 0.7835727334022522,
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| 21 |
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"learning_rate": 2e-05,
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| 22 |
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"loss": 1.0008,
|
| 23 |
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"step": 2
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| 24 |
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},
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| 25 |
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{
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| 26 |
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"epoch": 0.6956521739130435,
|
| 27 |
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"eval_loss": 1.0610309839248657,
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| 28 |
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"eval_runtime": 5.2827,
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| 29 |
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"eval_samples_per_second": 2.272,
|
| 30 |
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"eval_steps_per_second": 2.272,
|
| 31 |
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"step": 2
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| 32 |
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},
|
| 33 |
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{
|
| 34 |
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"epoch": 1.391304347826087,
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| 35 |
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"grad_norm": 0.7976774573326111,
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| 36 |
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"learning_rate": 4e-05,
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| 37 |
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"loss": 0.9848,
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| 38 |
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"step": 4
|
| 39 |
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},
|
| 40 |
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{
|
| 41 |
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"epoch": 1.7391304347826086,
|
| 42 |
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"eval_loss": 1.0089634656906128,
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| 43 |
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"eval_runtime": 5.0231,
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| 44 |
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"eval_samples_per_second": 2.389,
|
| 45 |
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"eval_steps_per_second": 2.389,
|
| 46 |
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