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README.md ADDED
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+ ---
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+ license: other
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+ base_model: 01-ai/Yi-34B-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: yi-34b-v0.1
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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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+ # yi-34b-v0.1
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+
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+ This model is a fine-tuned version of [01-ai/Yi-34B-Chat](https://huggingface.co/01-ai/Yi-34B-Chat) on the generator dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.8262
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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: 1
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+ - eval_batch_size: 1
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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: 4
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+ - total_train_batch_size: 32
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+ - total_eval_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: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.6791 | 0.99 | 63 | 0.6753 |
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+ | 0.4164 | 1.99 | 127 | 0.7020 |
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+ | 0.2065 | 2.96 | 189 | 0.8262 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.0.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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+ {
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+ "epoch": 2.96,
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+ "train_samples": 6520,
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+ "train_samples_per_second": 1.494,
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+ "train_steps_per_second": 0.046
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+ }
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+ {
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+ "_name_or_path": "01-ai/Yi-34B-Chat",
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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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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 7168,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 20480,
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+ "max_position_embeddings": 4096,
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+ "model_type": "llama",
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+ "num_attention_heads": 56,
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+ "num_hidden_layers": 60,
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+ "num_key_value_heads": 8,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "torch_dtype": "bfloat16",
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+ }
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+ "temperature": 0.6,
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+ "top_p": 0.8,
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+ "transformers_version": "4.39.0.dev0"
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