Model save
Browse files- README.md +60 -0
- added_tokens.json +19 -0
- all_results.json +8 -0
- config.json +28 -0
- generation_config.json +6 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
- special_tokens_map.json +65 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +193 -0
- train_results.json +8 -0
- trainer_state.json +60 -0
- training_args.bin +3 -0
README.md
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---
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license: llama2
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base_model: Minbyul/meditron-7b-wo-healthsearch_qa-sft
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: meditron-7b-dpo-full-sft-wo-healthsearch_qa
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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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# meditron-7b-dpo-full-sft-wo-healthsearch_qa
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This model is a fine-tuned version of [Minbyul/meditron-7b-wo-healthsearch_qa-sft](https://huggingface.co/Minbyul/meditron-7b-wo-healthsearch_qa-sft) 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-07
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 64
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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: 1
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### Training results
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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added_tokens.json
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{
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"<CLS>": 32000,
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"<EOD>": 32002,
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"<PAD>": 32004,
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"<SEP>": 32001,
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"[/bib]": 32010,
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"[/bib_ref]": 32006,
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"[/fig]": 32012,
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"[/fig_ref]": 32008,
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"[fig]": 32011,
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"[fig_ref]": 32007,
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"[formula]": 32015,
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"[table]": 32013
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}
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 0.6850088967217339,
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"train_runtime": 241.6299,
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"train_samples": 1144,
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"train_samples_per_second": 4.735,
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"train_steps_per_second": 0.074
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}
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config.json
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{
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"_name_or_path": "Minbyul/meditron-7b-wo-healthsearch_qa-sft",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 2048,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 32,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.0.dev0",
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"use_cache": false,
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"vocab_size": 32017
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}
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generation_config.json
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"transformers_version": "4.39.0.dev0"
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}
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model-00001-of-00003.safetensors
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model.safetensors.index.json
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special_tokens_map.json
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer.model
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tokenizer_config.json
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trainer_state.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:6952dcbce39ab174d3f158877b204d1fcf4a2aa3e2a3ec8b2bd68fad4ebcb0de
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size 6264
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