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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
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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
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7927
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - optimizer: Use OptimizerNames.ADAFACTOR and the args are:
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+ No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 1
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+ - training_steps: 3372
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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 | 0.9953 | 105 | 1.1560 |
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+ | No log | 2.0 | 211 | 1.1306 |
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+ | No log | 2.9953 | 316 | 1.1640 |
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+ | No log | 4.0 | 422 | 1.2417 |
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+ | No log | 4.9953 | 527 | 1.2741 |
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+ | No log | 6.0 | 633 | 1.3009 |
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+ | No log | 6.9953 | 738 | 1.3479 |
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+ | No log | 8.0 | 844 | 1.4053 |
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+ | No log | 8.9953 | 949 | 1.4463 |
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+ | No log | 10.0 | 1055 | 1.4523 |
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+ | No log | 10.9953 | 1160 | 1.4646 |
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+ | No log | 12.0 | 1266 | 1.5013 |
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+ | No log | 12.9953 | 1371 | 1.4868 |
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+ | No log | 14.0 | 1477 | 1.5466 |
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+ | No log | 14.9953 | 1582 | 1.5501 |
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+ | No log | 16.0 | 1688 | 1.5816 |
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+ | No log | 16.9953 | 1793 | 1.5601 |
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+ | No log | 18.0 | 1899 | 1.5774 |
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+ | No log | 18.9953 | 2004 | 1.6338 |
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+ | No log | 20.0 | 2110 | 1.6242 |
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+ | No log | 20.9953 | 2215 | 1.6408 |
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+ | No log | 22.0 | 2321 | 1.6462 |
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+ | No log | 22.9953 | 2426 | 1.6565 |
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+ | No log | 24.0 | 2532 | 1.6767 |
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+ | No log | 24.9953 | 2637 | 1.7010 |
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+ | No log | 26.0 | 2743 | 1.6947 |
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+ | No log | 26.9953 | 2848 | 1.7124 |
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+ | No log | 28.0 | 2954 | 1.7340 |
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+ | No log | 28.9953 | 3059 | 1.7522 |
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+ | No log | 30.0 | 3165 | 1.7693 |
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+ | No log | 30.9953 | 3270 | 1.7857 |
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+ | No log | 31.9621 | 3372 | 1.7927 |
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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_theta": 1000000.0,
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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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+ "Qwen2ForCausalLM"
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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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+ "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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