---
library_name: transformers
license: cc-by-4.0
base_model: l3cube-pune/malayalam-bert
tags:
- generated_from_trainer
model-index:
- name: Malayalam_QA_model
  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. -->

# Malayalam_QA_model

This model is a fine-tuned version of [l3cube-pune/malayalam-bert](https://huggingface.co/l3cube-pune/malayalam-bert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 5.9506

## 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: 0.0002
- 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
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.9504        | 1.0   | 386  | 5.9506          |
| 5.9486        | 2.0   | 772  | 5.9506          |
| 5.9517        | 3.0   | 1158 | 5.9506          |
| 5.9508        | 4.0   | 1544 | 5.9506          |
| 5.9508        | 5.0   | 1930 | 5.9506          |
| 5.9505        | 6.0   | 2316 | 5.9506          |
| 5.9507        | 7.0   | 2702 | 5.9506          |
| 5.9504        | 8.0   | 3088 | 5.9506          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1