---
library_name: transformers
license: mit
base_model: facebook/m2m100_418M
tags:
- generated_from_trainer
model-index:
- name: m2m-amharic-antonym
  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. -->

# m2m-amharic-antonym

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3957

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.337         | 1.0   | 60   | 5.0730          |
| 3.3046        | 2.0   | 120  | 3.0637          |
| 1.4945        | 3.0   | 180  | 1.3380          |
| 0.5866        | 4.0   | 240  | 0.5557          |
| 0.4139        | 5.0   | 300  | 0.4218          |
| 0.325         | 6.0   | 360  | 0.3970          |
| 0.2923        | 7.0   | 420  | 0.3934          |
| 0.2572        | 8.0   | 480  | 0.3899          |
| 0.224         | 9.0   | 540  | 0.3937          |
| 0.2201        | 10.0  | 600  | 0.3957          |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.19.1