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---
license: mit
tags:
- generated_from_trainer
datasets:
- itihasa
metrics:
- bleu
model-index:
- name: M2M101
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: itihasa
type: itihasa
config: Itihasa
split: test
args: Itihasa
metrics:
- name: Bleu
type: bleu
value: 0.0
---
<!-- 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. -->
# M2M101
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the itihasa dataset.
It achieves the following results on the evaluation set:
- Loss: 7.7213
- Bleu: 0.0
- Gen Len: 2.0
- Meteor: 0.0
## 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: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | Meteor |
|:-------------:|:-----:|:-----:|:---------------:|:----:|:-------:|:------:|
| 0.0001 | 1.0 | 4698 | 7.5812 | 0.0 | 2.0 | 0.0 |
| 0.0 | 2.0 | 9396 | 7.0783 | 0.0 | 2.0 | 0.0 |
| 0.0 | 3.0 | 14094 | 8.0417 | 0.0 | 2.0 | 0.0 |
| 0.0 | 4.0 | 18792 | 7.7102 | 0.0 | 2.0 | 0.0 |
| 0.0 | 5.0 | 23490 | 7.7213 | 0.0 | 2.0 | 0.0 |
### Framework versions
- Transformers 4.28.0
- Pytorch 2.3.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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