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End of training

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: Qwen/Qwen2.5-0.5B-Instruct
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_small
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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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+ # careerbot_PG6_Qwen_Qwen2.5-0.5B-Instruct_model_small
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+
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+ This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct) on the None 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: 1e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 50
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+ - num_epochs: 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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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 424 | 1.1548 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.1
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+ - Pytorch 2.5.0+cu124
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+ - Datasets 2.19.0
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+ - Tokenizers 0.20.1
config.json ADDED
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+ {
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+ "_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
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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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+ "hidden_size": 896,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4864,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 21,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 14,
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+ "num_hidden_layers": 24,
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+ "num_key_value_heads": 2,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.46.1",
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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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+ }
final/config.json ADDED
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+ {
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+ "_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
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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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+ "hidden_size": 896,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4864,
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+ "max_position_embeddings": 32768,
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+ "max_window_layers": 21,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 14,
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+ "num_hidden_layers": 24,
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+ "num_key_value_heads": 2,
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.46.1",
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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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+ "top_k": 20,
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+ "top_p": 0.8,
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+ "transformers_version": "4.46.1"
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