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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: mt5-gigatrue-embmodtest
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. -->
# mt5-gigatrue-embmodtest
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.3662
## 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: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 9.2307 | 0.1015 | 3000 | 7.5733 |
| 8.3153 | 0.2030 | 6000 | 7.4610 |
| 8.245 | 0.3044 | 9000 | 7.4058 |
| 8.2157 | 0.4059 | 12000 | 7.3872 |
| 8.2014 | 0.5074 | 15000 | 7.3764 |
| 8.1962 | 0.6089 | 18000 | 7.3736 |
| 8.1911 | 0.7104 | 21000 | 7.3708 |
| 8.1927 | 0.8119 | 24000 | 7.3668 |
| 8.1863 | 0.9133 | 27000 | 7.3662 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3
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