Commit
•
807688f
1
Parent(s):
964afbf
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-2_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-2_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: 1.4146
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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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| 1.0003 | 0.8696 | 5 | 1.0526 |
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| 0.9778 | 1.9130 | 11 | 0.9144 |
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| 0.8521 | 2.9565 | 17 | 0.8022 |
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| 0.7041 | 4.0 | 23 | 0.7458 |
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| 0.6478 | 4.8696 | 28 | 0.7177 |
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| 0.5764 | 5.9130 | 34 | 0.7000 |
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| 0.4782 | 6.9565 | 40 | 0.6944 |
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| 0.4344 | 8.0 | 46 | 0.6963 |
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| 0.3571 | 8.8696 | 51 | 0.7276 |
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| 0.2965 | 9.9130 | 57 | 0.8026 |
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| 0.2046 | 10.9565 | 63 | 0.9341 |
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| 0.119 | 12.0 | 69 | 1.0343 |
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| 0.064 | 12.8696 | 74 | 1.2800 |
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| 0.0358 | 13.9130 | 80 | 1.4146 |
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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:c92f4b63ac8496eab9fe26ffb6fcc5e08ee0b074f3a23ee136ec81c5866a105b
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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": 2.1337014435577856e+16,
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"train_loss": 0.48295602201251314,
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"train_runtime": 925.7582,
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"train_samples": 46,
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"train_samples_per_second": 2.484,
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"train_steps_per_second": 0.27
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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": 2.1337014435577856e+16,
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"train_loss": 0.48295602201251314,
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"train_runtime": 925.7582,
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"train_samples": 46,
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"train_samples_per_second": 2.484,
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"train_steps_per_second": 0.27
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}
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trainer_state.json
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| 1 |
+
{
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| 2 |
+
"best_metric": 0.6944165229797363,
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| 3 |
+
"best_model_checkpoint": "data/Gemma-2-2B_task-2_60-samples_config-1/checkpoint-40",
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| 4 |
+
"epoch": 13.91304347826087,
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| 5 |
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"eval_steps": 500,
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| 6 |
+
"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": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.17391304347826086,
|
| 13 |
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"grad_norm": 0.7895397543907166,
|
| 14 |
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"learning_rate": 4.000000000000001e-06,
|
| 15 |
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"loss": 1.0312,
|
| 16 |
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"step": 1
|
| 17 |
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},
|
| 18 |
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{
|
| 19 |
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"epoch": 0.34782608695652173,
|
| 20 |
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"grad_norm": 0.9888849258422852,
|
| 21 |
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"learning_rate": 8.000000000000001e-06,
|
| 22 |
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"loss": 1.0807,
|
| 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": 0.8398869633674622,
|
| 28 |
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"learning_rate": 1.6000000000000003e-05,
|
| 29 |
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"loss": 1.0003,
|
| 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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