Commit
•
a4a0675
1
Parent(s):
dfd9b0c
Model save
Browse files- README.md +78 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +450 -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-3_60-samples_config-1
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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-3_60-samples_config-1
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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: 1.0329
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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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| 3.2369 | 0.8696 | 5 | 3.1359 |
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| 2.5226 | 1.9130 | 11 | 1.7106 |
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| 1.1016 | 2.9565 | 17 | 0.7912 |
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| 0.45 | 4.0 | 23 | 0.5232 |
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| 0.3492 | 4.8696 | 28 | 0.4661 |
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| 0.2407 | 5.9130 | 34 | 0.4271 |
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| 0.2032 | 6.9565 | 40 | 0.4227 |
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| 0.2575 | 8.0 | 46 | 0.4339 |
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| 0.1486 | 8.8696 | 51 | 0.4843 |
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| 0.0961 | 9.9130 | 57 | 0.5847 |
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| 0.0285 | 10.9565 | 63 | 0.7613 |
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| 0.0231 | 12.0 | 69 | 0.8747 |
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| 0.0118 | 12.8696 | 74 | 0.9379 |
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| 0.0095 | 13.9130 | 80 | 1.0329 |
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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:e118a3a05d3301076254c7b7b91dbd6dae31674056d545b66167da12caae08e4
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size 83115256
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all_results.json
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{
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"epoch": 13.91304347826087,
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"total_flos": 1.7573306278346752e+16,
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"train_loss": 0.6591164629440754,
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"train_runtime": 754.5401,
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"train_samples": 46,
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"train_samples_per_second": 3.048,
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"train_steps_per_second": 0.331
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}
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train_results.json
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{
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"epoch": 13.91304347826087,
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"total_flos": 1.7573306278346752e+16,
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"train_loss": 0.6591164629440754,
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"train_runtime": 754.5401,
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"train_samples": 46,
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"train_samples_per_second": 3.048,
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"train_steps_per_second": 0.331
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}
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trainer_state.json
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{
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"best_metric": 0.42271220684051514,
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| 3 |
+
"best_model_checkpoint": "data/Gemma-2-2B_task-3_60-samples_config-1/checkpoint-40",
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| 4 |
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"epoch": 13.91304347826087,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 80,
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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 |
+
"epoch": 0.17391304347826086,
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| 13 |
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"grad_norm": 10.146446228027344,
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| 14 |
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"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 4.3607,
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| 16 |
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"step": 1
|
| 17 |
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},
|
| 18 |
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{
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| 19 |
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"epoch": 0.34782608695652173,
|
| 20 |
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"grad_norm": 3.9102349281311035,
|
| 21 |
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"learning_rate": 8.000000000000001e-06,
|
| 22 |
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"loss": 2.5129,
|
| 23 |
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"step": 2
|
| 24 |
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},
|
| 25 |
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{
|
| 26 |
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"epoch": 0.6956521739130435,
|
| 27 |
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"grad_norm": 4.964460849761963,
|
| 28 |
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"learning_rate": 1.6000000000000003e-05,
|
| 29 |
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"loss": 3.2369,
|
| 30 |
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"step": 4
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
+
"epoch": 0.8695652173913043,
|
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