---
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