Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +61 -0
- all_results.json +22 -0
- config.json +29 -0
- eval_results.json +16 -0
- generation_config.json +7 -0
- model-00001-of-00004.safetensors +3 -0
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- special_tokens_map.json +34 -0
- tokenizer.json +3 -0
- tokenizer_config.json +70 -0
- train_results.json +9 -0
- trainer_state.json +195 -0
- training_args.bin +3 -0
.gitattributes
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README.md
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---
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license: other
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base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- argilla/dpo-mix-7k
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model-index:
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- name: zephyr-7b-gemma-adaptive_confidence_margin_loss_213
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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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# zephyr-7b-gemma-adaptive_confidence_margin_loss_213
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This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on the argilla/dpo-mix-7k 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-07
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- train_batch_size: 2
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 32
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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: 2
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### Training results
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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all_results.json
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"total_flos": 0.0,
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}
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config.json
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"num_attention_heads": 16,
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"num_hidden_layers": 28,
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"num_key_value_heads": 16,
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"pad_token_id": 0,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.1",
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"use_cache": true,
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"vocab_size": 256000
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}
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eval_results.json
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generation_config.json
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version https://git-lfs.github.com/spec/v1
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tokenizer_config.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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