GaetanMichelet
commited on
Commit
•
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Parent(s):
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Model save
Browse files- README.md +75 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +797 -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-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_180-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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9233
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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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| 2.2103 | 1.0 | 17 | 2.0467 |
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| 1.4945 | 2.0 | 34 | 1.5311 |
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| 1.2419 | 3.0 | 51 | 1.3481 |
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| 1.055 | 4.0 | 68 | 1.2944 |
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| 0.9312 | 5.0 | 85 | 1.3499 |
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| 0.6594 | 6.0 | 102 | 1.4708 |
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| 0.3964 | 7.0 | 119 | 1.7099 |
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| 0.2489 | 8.0 | 136 | 2.3134 |
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| 0.1183 | 9.0 | 153 | 2.5791 |
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| 0.0799 | 10.0 | 170 | 2.6094 |
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| 0.0689 | 11.0 | 187 | 2.9233 |
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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 sha256:1e26add527b2e66fe0a110a0791a3933e4e2eae4636c2c87da06a8b623cb0365
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size 83115256
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all_results.json
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{
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"epoch": 11.0,
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"total_flos": 6214883632742400.0,
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"train_loss": 0.8238636347101652,
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"train_runtime": 647.9451,
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"train_samples": 136,
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"train_samples_per_second": 10.495,
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"train_steps_per_second": 1.312
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}
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train_results.json
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{
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"epoch": 11.0,
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"total_flos": 6214883632742400.0,
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"train_loss": 0.8238636347101652,
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"train_runtime": 647.9451,
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"train_samples": 136,
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"train_samples_per_second": 10.495,
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"train_steps_per_second": 1.312
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}
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trainer_state.json
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{
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"best_metric": 1.2944130897521973,
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+
"best_model_checkpoint": "data/Gemma-2-2B_task-1_180-samples_config-1/checkpoint-68",
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"epoch": 11.0,
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"eval_steps": 500,
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"global_step": 187,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.058823529411764705,
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"grad_norm": 2.3742620944976807,
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"learning_rate": 1.1764705882352942e-06,
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"loss": 2.3722,
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"step": 1
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},
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{
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"epoch": 0.11764705882352941,
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"grad_norm": 2.114546060562134,
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"learning_rate": 2.3529411764705885e-06,
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"loss": 2.1534,
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"step": 2
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},
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{
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