File size: 2,622 Bytes
669ebd4 323bb25 669ebd4 323bb25 669ebd4 323bb25 669ebd4 |
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 75 76 77 78 79 80 81 82 |
---
tags:
- generated_from_trainer
model-index:
- name: checkpoints_2_18
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. -->
# checkpoints_2_18
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0162
- Map@3: 0.7248
## 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-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 0
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss | Map@3 |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.1455 | 0.04 | 200 | 1.0242 | 0.7222 |
| 1.1247 | 0.08 | 400 | 1.0420 | 0.7233 |
| 1.0755 | 0.13 | 600 | 1.0358 | 0.7222 |
| 1.003 | 0.17 | 800 | 1.1454 | 0.7258 |
| 1.0276 | 0.21 | 1000 | 1.0685 | 0.7205 |
| 0.9733 | 0.25 | 1200 | 1.1443 | 0.7050 |
| 1.0409 | 0.29 | 1400 | 1.1388 | 0.7012 |
| 0.9511 | 0.34 | 1600 | 1.1830 | 0.7197 |
| 1.0153 | 0.38 | 1800 | 1.1344 | 0.7172 |
| 1.0024 | 0.42 | 2000 | 1.1659 | 0.7212 |
| 0.9657 | 0.46 | 2200 | 1.1938 | 0.7100 |
| 0.9993 | 0.51 | 2400 | 1.1777 | 0.7042 |
| 1.0174 | 0.55 | 2600 | 1.0811 | 0.7145 |
| 0.9792 | 0.59 | 2800 | 1.1281 | 0.7162 |
| 1.0442 | 0.63 | 3000 | 1.0792 | 0.7133 |
| 1.075 | 0.67 | 3200 | 1.0900 | 0.7165 |
| 1.1424 | 0.72 | 3400 | 1.0698 | 0.7188 |
| 1.1411 | 0.76 | 3600 | 1.0476 | 0.7193 |
| 1.172 | 0.8 | 3800 | 1.0318 | 0.7225 |
| 1.208 | 0.84 | 4000 | 1.0224 | 0.7225 |
| 1.1975 | 0.88 | 4200 | 1.0195 | 0.7245 |
| 1.2282 | 0.93 | 4400 | 1.0168 | 0.7238 |
| 1.2635 | 0.97 | 4600 | 1.0162 | 0.7248 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
|