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---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: mt5-base-finetuned-mt5-base-poem4Final
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-base-finetuned-mt5-base-poem4Final
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 121 | nan |
| No log | 2.0 | 242 | nan |
| No log | 3.0 | 363 | nan |
| No log | 4.0 | 484 | nan |
| 0.0 | 5.0 | 605 | nan |
| 0.0 | 6.0 | 726 | nan |
| 0.0 | 7.0 | 847 | nan |
| 0.0 | 8.0 | 968 | nan |
| 0.0 | 9.0 | 1089 | nan |
| 0.0 | 10.0 | 1210 | nan |
| 0.0 | 11.0 | 1331 | nan |
| 0.0 | 12.0 | 1452 | nan |
| 0.0 | 13.0 | 1573 | nan |
| 0.0 | 14.0 | 1694 | nan |
| 0.0 | 15.0 | 1815 | nan |
| 0.0 | 16.0 | 1936 | nan |
| 0.0 | 17.0 | 2057 | nan |
| 0.0 | 18.0 | 2178 | nan |
| 0.0 | 19.0 | 2299 | nan |
| 0.0 | 20.0 | 2420 | nan |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|