End of training
Browse files- README.md +53 -0
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: roneneldan/TinyStories-33M
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tags:
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- generated_from_trainer
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datasets:
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- edgar-corpus
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model-index:
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- name: opt-350m-usft-sec
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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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# opt-350m-usft-sec
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This model is a fine-tuned version of [roneneldan/TinyStories-33M](https://huggingface.co/roneneldan/TinyStories-33M) on the edgar-corpus 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: 0.0005
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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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: 2
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### Training results
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### Framework versions
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- Transformers 4.32.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "roneneldan/TinyStories-33M",
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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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"lora_alpha": 32,
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"lora_dropout": 0.0,
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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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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:defd4968e17d442885505f679fb17d5b6f7fd88f2b973d795becea89b8d00362
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size 399137
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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:b1e17e9a88848f1cd0c06b71fda1fba6e4ff5b1bc7df5581025830e45c28a297
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size 4155
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