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README.md ADDED
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+ ---
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+ library_name: peft
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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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+ base_model: Weni/ZeroShot-3.3.14-Mistral-7b-Multilanguage-3.2.0-merged
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+ model-index:
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+ - name: ZeroShot-Test-3.4.4-Mistral-7b-DPO-1.0.0
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+ results: []
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+ ---
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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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+
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+ # ZeroShot-Test-3.4.4-Mistral-7b-DPO-1.0.0
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+
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+ This model is a fine-tuned version of [Weni/ZeroShot-3.3.14-Mistral-7b-Multilanguage-3.2.0-merged](https://huggingface.co/Weni/ZeroShot-3.3.14-Mistral-7b-Multilanguage-3.2.0-merged) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6931
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+ - Rewards/chosen: 0.0
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+ - Rewards/rejected: 0.0
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+ - Rewards/accuracies: 0.0
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+ - Rewards/margins: 0.0
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+ - Logps/rejected: -14.1141
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+ - Logps/chosen: -16.2364
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+ - Logits/rejected: -1.3318
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+ - Logits/chosen: -1.3533
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-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: 2
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+ - total_train_batch_size: 4
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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_ratio: 0.1
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+ - training_steps: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.8.2
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.17.1
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+ - Tokenizers 0.15.2
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+ "base_model_name_or_path": "Weni/ZeroShot-3.3.14-Mistral-7b-Multilanguage-3.2.0-merged",
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+ "bias": "none",
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+ "inference_mode": true,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 8,
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+ "target_modules": [
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+ "v_proj",
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_rslora": false
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+ }
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+ "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
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