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---
base_model: facebook/mbart-large-50-many-to-many-mmt
tags:
- generated_from_trainer
model-index:
- name: mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant
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. -->
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/peterparkercar321-amrita-vishwa-vidyapeetham/huggingface/runs/97jf138x)
# mbart-large-50-many-to-many-mmt-finetuned-human-to-assistant
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5397
## 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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 9 | 1.3946 |
| No log | 2.0 | 18 | 1.3488 |
| No log | 3.0 | 27 | 1.3852 |
| No log | 4.0 | 36 | 1.4675 |
| No log | 5.0 | 45 | 1.5198 |
| No log | 6.0 | 54 | 1.5201 |
| No log | 7.0 | 63 | 1.5057 |
| No log | 8.0 | 72 | 1.4997 |
| No log | 9.0 | 81 | 1.5251 |
| No log | 10.0 | 90 | 1.5397 |
### Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
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