transformers safetensors distilbert text-classification generated_from_trainer base_model:marklicata/M365_h1_base base_model:finetune:marklicata/M365_h1_base license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
base_model: marklicata/M365_h1_base
library_name: transformers
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: M365_h2_Translation
  results: []
---

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# M365_h2_Translation

This model is a fine-tuned version of [marklicata/M365_h1_base](https://huggingface.co/marklicata/M365_h1_base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1011

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 249  | 0.0913          |
| No log        | 2.0   | 498  | 0.0950          |
| 0.0812        | 3.0   | 747  | 0.1011          |


### Framework versions

- Transformers 4.46.1
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.1
