metadata
tags:
- generated_from_trainer
model-index:
- name: checkpoints_1_18
results: []
checkpoints_1_18
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0012
- Map@3: 0.7287
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: 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 |
|---|---|---|---|---|
| 1.2427 | 0.11 | 500 | 1.0237 | 0.7212 |
| 1.2405 | 0.21 | 1000 | 1.0134 | 0.7207 |
| 1.2422 | 0.32 | 1500 | 1.0270 | 0.7100 |
| 1.2396 | 0.42 | 2000 | 1.0296 | 0.7190 |
| 1.2227 | 0.53 | 2500 | 1.0178 | 0.7227 |
| 1.2034 | 0.63 | 3000 | 1.0097 | 0.7202 |
| 1.2138 | 0.74 | 3500 | 1.0076 | 0.7267 |
| 1.2082 | 0.84 | 4000 | 1.0036 | 0.7278 |
| 1.2161 | 0.95 | 4500 | 1.0012 | 0.7287 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3