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---
language:
- en
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- top_v2
model-index:
- name: t5-base-pointer-top_v2
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. -->
# t5-base-pointer-top_v2
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the top_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0256
- Exact Match: 0.8517
## 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: 0.001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 1.4545 | 0.82 | 200 | 0.2542 | 0.1294 |
| 0.1878 | 1.65 | 400 | 0.0668 | 0.2128 |
| 0.0796 | 2.47 | 600 | 0.0466 | 0.2276 |
| 0.0536 | 3.29 | 800 | 0.0356 | 0.2309 |
| 0.0424 | 4.12 | 1000 | 0.0317 | 0.2328 |
| 0.0356 | 4.94 | 1200 | 0.0295 | 0.2340 |
| 0.0306 | 5.76 | 1400 | 0.0288 | 0.2357 |
| 0.0277 | 6.58 | 1600 | 0.0271 | 0.2351 |
| 0.0243 | 7.41 | 1800 | 0.0272 | 0.2351 |
| 0.0225 | 8.23 | 2000 | 0.0272 | 0.2353 |
| 0.0206 | 9.05 | 2200 | 0.0267 | 0.2368 |
| 0.0187 | 9.88 | 2400 | 0.0260 | 0.2367 |
| 0.0173 | 10.7 | 2600 | 0.0256 | 0.2383 |
| 0.0161 | 11.52 | 2800 | 0.0260 | 0.2383 |
| 0.0153 | 12.35 | 3000 | 0.0257 | 0.2377 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
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