---
tags:
- generated_from_trainer
model-index:
- name: checkpoints_1_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_1_18

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0029
- Map@3: 0.7167

## 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  |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.142         | 0.11  | 500  | 1.0493          | 0.7237 |
| 0.9838        | 0.21  | 1000 | 1.0372          | 0.7165 |
| 0.9986        | 0.32  | 1500 | 1.3068          | 0.6970 |
| 1.0107        | 0.42  | 2000 | 1.1471          | 0.7107 |
| 1.0236        | 0.53  | 2500 | 1.1068          | 0.7115 |
| 1.0616        | 0.63  | 3000 | 1.0636          | 0.7170 |
| 1.1416        | 0.74  | 3500 | 1.0426          | 0.7183 |
| 1.1879        | 0.84  | 4000 | 1.0135          | 0.7147 |
| 1.2246        | 0.95  | 4500 | 1.0029          | 0.7167 |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3