Commit
•
99ab125
1
Parent(s):
28665ea
Model save
Browse files- README.md +77 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +421 -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
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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
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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: 3.3674
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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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| 2.489 | 0.8696 | 5 | 2.2686 |
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| 2.1234 | 1.9130 | 11 | 1.8447 |
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| 1.5886 | 2.9565 | 17 | 1.5018 |
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| 1.4359 | 4.0 | 23 | 1.3991 |
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| 1.1595 | 4.8696 | 28 | 1.3782 |
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| 0.9043 | 5.9130 | 34 | 1.3620 |
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| 0.773 | 6.9565 | 40 | 1.4541 |
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| 0.4933 | 8.0 | 46 | 1.6163 |
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| 0.354 | 8.8696 | 51 | 1.9201 |
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| 0.1478 | 9.9130 | 57 | 2.4809 |
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| 0.0676 | 10.9565 | 63 | 2.9184 |
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| 0.0308 | 12.0 | 69 | 3.2972 |
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| 0.0342 | 12.8696 | 74 | 3.3674 |
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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:c480d01e857fc154e512003fc18166142be8649d81a2d7bed5fd680417f453cb
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size 83115256
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all_results.json
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{
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"epoch": 12.869565217391305,
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"total_flos": 2319598189281280.0,
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"train_loss": 0.9195622371862063,
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"train_runtime": 286.9716,
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"train_samples": 46,
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"train_samples_per_second": 8.015,
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"train_steps_per_second": 0.871
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}
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train_results.json
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{
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"epoch": 12.869565217391305,
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"total_flos": 2319598189281280.0,
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"train_loss": 0.9195622371862063,
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"train_runtime": 286.9716,
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"train_samples": 46,
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"train_samples_per_second": 8.015,
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"train_steps_per_second": 0.871
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}
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trainer_state.json
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{
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"best_metric": 1.362037181854248,
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"best_model_checkpoint": "data/Gemma-2-2B_task-1_60-samples_config-1/checkpoint-34",
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| 4 |
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"epoch": 12.869565217391305,
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| 5 |
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"eval_steps": 500,
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| 6 |
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"global_step": 74,
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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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{
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"epoch": 0.17391304347826086,
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| 13 |
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"grad_norm": 2.9326045513153076,
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| 14 |
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"learning_rate": 4.000000000000001e-06,
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| 15 |
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"loss": 2.4121,
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| 16 |
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"step": 1
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| 17 |
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},
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| 18 |
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{
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| 19 |
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"epoch": 0.34782608695652173,
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| 20 |
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"grad_norm": 2.785604238510132,
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"learning_rate": 8.000000000000001e-06,
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| 22 |
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"loss": 2.5463,
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| 23 |
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"step": 2
|
| 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,
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| 27 |
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"grad_norm": 2.592984914779663,
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"learning_rate": 1.6000000000000003e-05,
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| 29 |
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"loss": 2.489,
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"step": 4
|
| 31 |
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},
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| 32 |
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{
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| 33 |
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"epoch": 0.8695652173913043,
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| 34 |
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"eval_loss": 2.2686474323272705,
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| 35 |
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"eval_runtime": 1.0904,
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| 36 |
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"eval_samples_per_second": 11.005,
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| 37 |
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"eval_steps_per_second": 11.005,
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| 38 |
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"step": 5
|
| 39 |
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},
|
| 40 |
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{
|
| 41 |
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"epoch": 1.0434782608695652,
|
| 42 |
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"grad_norm": 2.600557804107666,
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| 43 |
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"learning_rate": 2.4e-05,
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| 44 |
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"loss": 2.3738,
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| 45 |
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"step": 6
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| 46 |
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},
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| 47 |
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{
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| 48 |
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"epoch": 1.391304347826087,
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