End of training
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README.md
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---
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license: other
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: google/gemma-7b
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model-index:
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- name: gemma-7b-ft-80row-alpaca-correcting-mistakes
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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-7b-ft-80row-alpaca-correcting-mistakes
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This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on an unknown dataset.
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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: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- gradient_accumulation_steps: 3
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- total_train_batch_size: 6
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 150
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### Training results
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### Framework versions
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- PEFT 0.9.0
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- Transformers 4.38.1
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- Pytorch 2.1.0+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "google/gemma-7b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"o_proj",
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"q_proj",
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"up_proj",
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"gate_proj",
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"v_proj",
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"down_proj",
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"k_proj"
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],
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"task_type": "CASUAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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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:e618935c5053056c35212faf13e63edb88e3f0028a60354b706b7ffd405f6d2b
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size 100059752
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runs/Mar05_11-15-47_3f4bbc8526e7/events.out.tfevents.1709637347.3f4bbc8526e7.1808.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:27358ae8dd978e9c09a6635faa5686b9c5c9b4a729a478e5266dead3c6ad65c0
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size 36606
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:fb8e6030d4b4c1a14064804a8b9dcb815563755af3b388a630ba0278aeafa323
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size 4920
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