Commit
•
e2a895f
1
Parent(s):
c83a0b4
Model save
Browse files- README.md +79 -0
- adapter_model.safetensors +1 -1
- all_results.json +9 -0
- train_results.json +9 -0
- trainer_state.json +325 -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-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-1_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: 2.0895
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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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| 2.491 | 0.6957 | 2 | 2.2964 |
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| 2.421 | 1.7391 | 5 | 2.1330 |
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| 2.0067 | 2.7826 | 8 | 1.7165 |
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| 1.6227 | 3.8261 | 11 | 1.5108 |
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| 1.4202 | 4.8696 | 14 | 1.4400 |
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| 1.3321 | 5.9130 | 17 | 1.3852 |
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| 1.1652 | 6.9565 | 20 | 1.3695 |
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| 1.0665 | 8.0 | 23 | 1.3489 |
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| 0.967 | 8.6957 | 25 | 1.3494 |
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| 0.8164 | 9.7391 | 28 | 1.3845 |
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| 0.7346 | 10.7826 | 31 | 1.4393 |
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| 0.5691 | 11.8261 | 34 | 1.5135 |
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| 0.4731 | 12.8696 | 37 | 1.6298 |
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| 0.3309 | 13.9130 | 40 | 1.8103 |
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| 0.2569 | 14.9565 | 43 | 2.0895 |
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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 sha256:8f8a51490f8f2c78c28ac7e26689019d70bfdefd7a9d13455bb2fea10ea4b5d1
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size 83115256
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all_results.json
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{
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"epoch": 14.956521739130435,
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"total_flos": 2676459427069952.0,
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"train_loss": 1.1577308184878772,
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"train_runtime": 317.644,
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"train_samples": 46,
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"train_samples_per_second": 7.241,
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"train_steps_per_second": 0.315
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}
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train_results.json
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{
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"epoch": 14.956521739130435,
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"total_flos": 2676459427069952.0,
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"train_loss": 1.1577308184878772,
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"train_runtime": 317.644,
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"train_samples": 46,
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"train_samples_per_second": 7.241,
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"train_steps_per_second": 0.315
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}
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trainer_state.json
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{
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