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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ base_model: Qwen/Qwen1.5-7B-Chat
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+ tags:
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+ - trl
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+ - sft
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+ - generated_from_trainer
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+ datasets:
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+ - generator
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+ model-index:
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+ - name: Qwen1.5-7B-Chat-v0.1_fictional_mathqa_French_v2
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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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+ # Qwen1.5-7B-Chat-v0.1_fictional_mathqa_French_v2
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+
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+ This model is a fine-tuned version of [Qwen/Qwen1.5-7B-Chat](https://huggingface.co/Qwen/Qwen1.5-7B-Chat) on the generator dataset.
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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: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 2
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 16
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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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+ - num_epochs: 36
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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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+ - Transformers 4.39.3
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+ - Pytorch 2.2.2
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "Qwen/Qwen1.5-7B-Chat",
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+ "architectures": [
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+ "Qwen2ForCausalLM"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 151643,
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+ "eos_token_id": 151645,
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+ "hidden_act": "silu",
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+ "initializer_range": 0.02,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 28,
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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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+ "rms_norm_eps": 1e-06,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.39.3",
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+ "use_cache": true,
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+ "use_sliding_window": false,
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+ "vocab_size": 151936
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+ }
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+ "repetition_penalty": 1.05,
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+ "temperature": 0.7,
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+ "top_k": 20,
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+ "top_p": 0.8,
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+ "transformers_version": "4.39.3"
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+ }
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