---
license: mit
base_model: sangjeedondrub/tibetan-roberta-causal-base
tags:
- generated_from_trainer
model-index:
- name: DYG_TiBERT_v2
  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. -->

# DYG_TiBERT_v2

This model is a fine-tuned version of [sangjeedondrub/tibetan-roberta-causal-base](https://huggingface.co/sangjeedondrub/tibetan-roberta-causal-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2134

## 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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 8    | 3.1386          |
| No log        | 2.0   | 16   | 2.1665          |
| No log        | 3.0   | 24   | 1.6217          |
| No log        | 4.0   | 32   | 1.3016          |
| No log        | 5.0   | 40   | 1.2134          |


### Framework versions

- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1