---
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