subha-roy/legal-simplification-mistral-v3-7b
Browse files- README.md +61 -3
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- runs/Aug31_13-17-16_32beb585884c/events.out.tfevents.1725110258.32beb585884c.509.0 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
- training_args.bin +3 -0
README.md
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---
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base_model: unsloth/mistral-7b-instruct-v0.3-bnb-4bit
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library_name: peft
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license: apache-2.0
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tags:
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- trl
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- sft
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- unsloth
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- generated_from_trainer
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model-index:
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- name: legal-simplification-mistral-v3-7b
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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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# legal-simplification-mistral-v3-7b
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This model is a fine-tuned version of [unsloth/mistral-7b-instruct-v0.3-bnb-4bit](https://huggingface.co/unsloth/mistral-7b-instruct-v0.3-bnb-4bit) on the None 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: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 3407
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 8
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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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- lr_scheduler_warmup_steps: 5
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- training_steps: 60
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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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": "unsloth/mistral-7b-instruct-v0.3-bnb-4bit",
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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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"layer_replication": null,
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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": 16,
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"lora_dropout": 0,
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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": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"o_proj",
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"q_proj",
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"k_proj",
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"gate_proj",
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"v_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_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 sha256:32f021eaf57f9f7dd2c66ac673cda0700c63af48152471c3568e45af4a8009c3
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size 167832240
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runs/Aug31_13-17-16_32beb585884c/events.out.tfevents.1725110258.32beb585884c.509.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:b625f41bccce3bae8bcbd163ff8ba13fa75b5df6f4510733473d598a2048172c
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size 18552
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[control_768]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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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:c79264f59d05b59ef1cc563713dc2343d14aaac61d4dee0eb0c0e28071d28973
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size 5496
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