| --- |
| license: gemma |
| base_model: google/gemma-2b |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: topic-tagger |
| results: [] |
| library_name: peft |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # topic-tagger |
|
|
| This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset. |
|
|
| ## Model description |
|
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| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
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| The following `bitsandbytes` quantization config was used during training: |
| - quant_method: bitsandbytes |
| - _load_in_8bit: False |
| - _load_in_4bit: True |
| - llm_int8_threshold: 6.0 |
| - llm_int8_skip_modules: None |
| - llm_int8_enable_fp32_cpu_offload: False |
| - llm_int8_has_fp16_weight: False |
| - bnb_4bit_quant_type: nf4 |
| - bnb_4bit_use_double_quant: True |
| - bnb_4bit_compute_dtype: float16 |
| - load_in_4bit: True |
| - load_in_8bit: False |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - train_batch_size: 1 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 4 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2 |
| - training_steps: 500 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
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| |
| ### Framework versions |
| |
| - PEFT 0.4.0 |
| - Transformers 4.38.2 |
| - Pytorch 2.4.0+cu121 |
| - Datasets 2.21.0 |
| - Tokenizers 0.15.2 |
| |
