---
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: 1.0012
- 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