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---
library_name: transformers
license: other
base_model: internlm/internlm2_5-1_8b-chat
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: predict
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. -->
# predict
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: 0.3829
## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 0.3932 | 0.5398 | 100 | 0.3729 |
| 0.235 | 1.0796 | 200 | 0.3673 |
| 0.2243 | 1.6194 | 300 | 0.3492 |
| 0.1416 | 2.1592 | 400 | 0.3768 |
| 0.1247 | 2.6991 | 500 | 0.3841 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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