---
library_name: transformers
license: other
base_model: internlm/internlm2-math-plus-1_8b
tags:
- generated_from_trainer
model-index:
- name: tfa_output_2025_m05_d13_t15h_32m_47s
  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. -->

# tfa_output_2025_m05_d13_t15h_32m_47s

This model is a fine-tuned version of [internlm/internlm2-math-plus-1_8b](https://huggingface.co/internlm/internlm2-math-plus-1_8b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2780

## 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-07
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0      | 0    | 1.2781          |
| 1.0589        | 0.2674 | 25   | 1.2779          |
| 1.1174        | 0.5348 | 50   | 1.2780          |
| 0.9907        | 0.8021 | 75   | 1.2780          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.1.2+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1