---
tags:
- generated_from_trainer
model-index:
- name: full2-transformer-1
  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. -->

# full2-transformer-1

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8575

## 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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 1
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2215        | 0.03  | 76320   | 4.1935          |
| 4.0184        | 1.03  | 152640  | 4.0250          |
| 3.9089        | 0.03  | 228960  | 3.9513          |
| 3.8437        | 1.03  | 305280  | 3.9104          |
| 3.7912        | 0.03  | 381600  | 3.8856          |
| 3.7513        | 0.03  | 457920  | 3.8687          |
| 3.722         | 1.03  | 534240  | 3.8590          |
| 3.6915        | 0.03  | 610560  | 3.8514          |
| 3.6647        | 1.03  | 686880  | 3.8469          |
| 3.6384        | 0.03  | 763200  | 3.8437          |
| 3.6155        | 0.03  | 839520  | 3.8417          |
| 3.5932        | 1.03  | 915840  | 3.8412          |
| 3.5776        | 0.03  | 992160  | 3.8405          |
| 3.56          | 1.03  | 1068480 | 3.8412          |
| 3.5407        | 0.03  | 1144800 | 3.8419          |
| 3.5278        | 1.03  | 1221120 | 3.8412          |
| 3.509         | 0.03  | 1297440 | 3.8432          |
| 3.4952        | 1.03  | 1373760 | 3.8440          |
| 3.4796        | 0.03  | 1450080 | 3.8456          |
| 3.4729        | 0.03  | 1526400 | 3.8466          |
| 3.4662        | 1.03  | 1602720 | 3.8462          |
| 3.4547        | 0.03  | 1679040 | 3.8487          |
| 3.4501        | 1.03  | 1755360 | 3.8488          |
| 3.4412        | 0.03  | 1831680 | 3.8505          |
| 3.4263        | 0.03  | 1908000 | 3.8518          |
| 3.4148        | 1.03  | 1984320 | 3.8530          |
| 3.403         | 0.03  | 2060640 | 3.8536          |
| 3.3917        | 1.03  | 2136960 | 3.8543          |
| 3.3844        | 0.03  | 2213280 | 3.8566          |
| 3.374         | 1.03  | 2289600 | 3.8571          |
| 3.3612        | 0.03  | 2365920 | 3.8569          |
| 3.3518        | 0.03  | 2442240 | 3.8590          |
| 3.3394        | 1.03  | 2518560 | 3.8593          |
| 3.3304        | 0.03  | 2594880 | 3.8589          |
| 3.3182        | 1.03  | 2671200 | 3.8600          |
| 3.3153        | 0.03  | 2747520 | 3.8600          |
| 3.3098        | 1.03  | 2823840 | 3.8598          |
| 3.3034        | 0.03  | 2900160 | 3.8589          |
| 3.3014        | 1.03  | 2976480 | 3.8586          |
| 3.2952        | 0.02  | 3052726 | 3.8575          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3