| --- |
| library_name: transformers |
| license: other |
| base_model: internlm/internlm2_5-1_8b-chat |
| tags: |
| - llama-factory |
| - full |
| - generated_from_trainer |
| model-index: |
| - name: predict2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # predict2 |
|
|
| This model is a fine-tuned version of [internlm/internlm2_5-1_8b-chat](https://huggingface.co/internlm/internlm2_5-1_8b-chat) on the expanded dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2200 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 2 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 32 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 3.0 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:------:|:----:|:---------------:| |
| | 0.2062 | 0.5984 | 100 | 0.2123 | |
| | 0.1256 | 1.1967 | 200 | 0.2036 | |
| | 0.1296 | 1.7951 | 300 | 0.1937 | |
| | 0.0592 | 2.3934 | 400 | 0.2185 | |
| | 0.0646 | 2.9918 | 500 | 0.2199 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.44.2 |
| - Pytorch 2.4.0 |
| - Datasets 2.21.0 |
| - Tokenizers 0.19.1 |
| |
