Training in progress, epoch 1
Browse files- .gitattributes +1 -0
- README.md +75 -0
- adapter_config.json +2 -2
- adapter_model.safetensors +1 -1
- special_tokens_map.json +33 -0
- tokenizer.json +3 -0
- tokenizer_config.json +0 -0
- training_args.bin +2 -2
.gitattributes
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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library_name: peft
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license: gemma
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base_model: google/gemma-3-1b-pt
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tags:
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- generated_from_trainer
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model-index:
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- name: gpt_1_causual_finetune
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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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# gpt_1_causual_finetune
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This model is a fine-tuned version of [google/gemma-3-1b-pt](https://huggingface.co/google/gemma-3-1b-pt) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9766
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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: 0.00025
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.2323 | 1.0 | 12 | 2.9389 |
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| 2.6433 | 2.0 | 24 | 2.2669 |
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| 1.9319 | 3.0 | 36 | 1.5997 |
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| 1.4135 | 4.0 | 48 | 1.2555 |
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| 1.193 | 5.0 | 60 | 1.1551 |
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| 1.1195 | 6.0 | 72 | 1.1047 |
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| 1.0782 | 7.0 | 84 | 1.0753 |
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| 1.0507 | 8.0 | 96 | 1.0515 |
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| 1.0263 | 9.0 | 108 | 1.0319 |
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| 1.0072 | 10.0 | 120 | 1.0154 |
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| 0.9911 | 11.0 | 132 | 1.0053 |
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| 0.9781 | 12.0 | 144 | 0.9918 |
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| 0.9675 | 13.0 | 156 | 0.9833 |
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| 0.9597 | 14.0 | 168 | 0.9789 |
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| 0.9552 | 15.0 | 180 | 0.9766 |
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### Framework versions
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- PEFT 0.15.2.dev0
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- Transformers 4.51.0.dev0
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- Pytorch 2.6.0
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- Datasets 3.4.0
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- Tokenizers 0.21.1
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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adapter_model.safetensors
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special_tokens_map.json
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{
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"boi_token": "<start_of_image>",
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"bos_token": {
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"content": "<bos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eoi_token": "<end_of_image>",
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"eos_token": {
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"content": "<eos>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"image_token": "<image_soft_token>",
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"pad_token": {
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"content": "<pad>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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training_args.bin
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