---
base_model: ai4bharat/IndicBART
tags:
- summarization
- generated_from_trainer
model-index:
- name: IndicBART_new
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# IndicBART_new

This model is a fine-tuned version of [ai4bharat/IndicBART](https://huggingface.co/ai4bharat/IndicBART) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1132

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.96  | 11   | 6.1880          |
| No log        | 2.0   | 23   | 5.8543          |
| No log        | 2.96  | 34   | 5.4336          |
| No log        | 4.0   | 46   | 4.9778          |
| No log        | 4.96  | 57   | 4.6550          |
| No log        | 6.0   | 69   | 4.3842          |
| No log        | 6.96  | 80   | 4.1987          |
| No log        | 7.65  | 88   | 4.1132          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2