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

# my_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: 1.3121

## 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: 2e-05
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 343  | 3.8942          |
| 4.0789        | 2.0   | 686  | 3.2806          |
| 3.2026        | 3.0   | 1029 | 2.6920          |
| 3.2026        | 4.0   | 1372 | 2.1975          |
| 2.4058        | 5.0   | 1715 | 1.8336          |
| 1.8407        | 6.0   | 2058 | 1.5926          |
| 1.8407        | 7.0   | 2401 | 1.4462          |
| 1.5268        | 8.0   | 2744 | 1.3634          |
| 1.3811        | 9.0   | 3087 | 1.3238          |
| 1.3811        | 10.0  | 3430 | 1.3121          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1