---
library_name: transformers
license: mit
base_model: prajjwal1/bert-medium
tags:
- generated_from_trainer
model-index:
- name: bert-medium-amharic-32k
  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. -->

# bert-medium-amharic-32k

This model is a fine-tuned version of [prajjwal1/bert-medium](https://huggingface.co/prajjwal1/bert-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.4166
- eval_model_preparation_time: 0.0032
- eval_runtime: 7.7499
- eval_samples_per_second: 2673.19
- eval_steps_per_second: 10.452
- epoch: 38.1081
- step: 318050

## 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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 10000
- num_epochs: 40
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.52.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1