| --- |
| library_name: transformers |
| license: other |
| base_model: /root/models/MMfreeLM-2.7B |
| tags: |
| - llama-factory |
| - full |
| - generated_from_trainer |
| model-index: |
| - name: math_continue_pretrain |
| 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. --> |
|
|
| # math_continue_pretrain |
|
|
| This model is a fine-tuned version of [/root/models/MMfreeLM-2.7B](https://huggingface.co//root/models/MMfreeLM-2.7B) on the the_stack dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.7669 |
| |
| ## 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: 2 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: multi-GPU |
| - num_devices: 8 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 256 |
| - total_eval_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_ratio: 0.05 |
| - num_epochs: 2.0 |
|
|
| ### Training results |
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|
| ### Framework versions |
|
|
| - Transformers 4.45.2 |
| - Pytorch 2.5.0+cu124 |
| - Datasets 2.21.0 |
| - Tokenizers 0.20.1 |
|
|
