File size: 2,340 Bytes
2d933fe |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 |
---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: t5-base-pointer-cstop_artificial
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-cstop_artificial
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1452
- Exact Match: 0.3417
## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- 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 |
|:-------------:|:------:|:----:|:---------------:|:-----------:|
| 1.7482 | 28.5 | 200 | 0.2505 | 0.1020 |
| 0.1366 | 57.13 | 400 | 0.0776 | 0.3238 |
| 0.0275 | 85.63 | 600 | 0.0881 | 0.3381 |
| 0.0114 | 114.25 | 800 | 0.0990 | 0.3399 |
| 0.0064 | 142.75 | 1000 | 0.1120 | 0.3417 |
| 0.0045 | 171.38 | 1200 | 0.1081 | 0.3435 |
| 0.0036 | 199.88 | 1400 | 0.1230 | 0.3435 |
| 0.0025 | 228.5 | 1600 | 0.1211 | 0.3399 |
| 0.002 | 257.13 | 1800 | 0.1367 | 0.3399 |
| 0.0016 | 285.63 | 2000 | 0.1324 | 0.3435 |
| 0.0013 | 314.25 | 2200 | 0.1340 | 0.3470 |
| 0.001 | 342.75 | 2400 | 0.1374 | 0.3435 |
| 0.0009 | 371.38 | 2600 | 0.1384 | 0.3417 |
| 0.0007 | 399.88 | 2800 | 0.1422 | 0.3435 |
| 0.0006 | 428.5 | 3000 | 0.1452 | 0.3417 |
### Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
|