---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: RC-inspire-LLM-ex1-b256
  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. -->

# RC-inspire-LLM-ex1-b256

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.1645

## 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: 0.0035355339059327372
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 4.0101        | 0.1718 | 5000  | 3.6379          |
| 3.5732        | 0.3435 | 10000 | 3.4689          |
| 3.4485        | 0.5153 | 15000 | 3.3665          |
| 3.349         | 0.6871 | 20000 | 3.2674          |
| 3.247         | 0.8588 | 25000 | 3.1645          |


### Framework versions

- Transformers 4.45.0.dev0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.19.1