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README.md
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---
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license: other
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# PsycoLLM
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---
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license: other
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base_model: Qwen/Qwen1.5-14B-Chat
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: v2
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results: []
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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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# v2
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This model is a fine-tuned version of [Qwen/Qwen1.5-14B-Chat](https://huggingface.co//data/zonepg/models/Qwen/Qwen1.5-14B-Chat) on the QAs, the ds and the dialogue datasets.
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It achieves the following results on the evaluation set:
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- Loss: 1.3823
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 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: 16
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- total_train_batch_size: 128
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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_steps: 20
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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 1.2867 | 0.63 | 100 | 1.2870 |
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| 0.9624 | 1.27 | 200 | 1.2869 |
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| 0.9492 | 1.9 | 300 | 1.2718 |
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| 0.6774 | 2.53 | 400 | 1.3823 |
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### Framework versions
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- Transformers 4.39.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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