transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: full-transformer-0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# full-transformer-0

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: 3.8574

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2272        | 0.03  | 76319   | 4.1922          |
| 4.0217        | 0.03  | 152638  | 4.0235          |
| 3.9137        | 0.03  | 228957  | 3.9498          |
| 3.8418        | 0.03  | 305276  | 3.9089          |
| 3.7884        | 0.03  | 381595  | 3.8835          |
| 3.7434        | 0.03  | 457914  | 3.8676          |
| 3.7119        | 0.03  | 534233  | 3.8562          |
| 3.6842        | 0.03  | 610552  | 3.8496          |
| 3.6538        | 0.03  | 686871  | 3.8450          |
| 3.6357        | 0.03  | 763191  | 3.8364          |
| 3.6082        | 1.03  | 839511  | 3.8347          |
| 3.598         | 0.03  | 915831  | 3.8313          |
| 3.5812        | 1.03  | 992151  | 3.8313          |
| 3.5599        | 0.03  | 1068471 | 3.8335          |
| 3.5412        | 0.03  | 1144791 | 3.8343          |
| 3.5247        | 1.03  | 1221111 | 3.8362          |
| 3.5081        | 0.03  | 1297431 | 3.8378          |
| 3.4931        | 0.03  | 1373751 | 3.8381          |
| 3.4798        | 0.03  | 1450071 | 3.8409          |
| 3.4681        | 1.03  | 1526391 | 3.8417          |
| 3.461         | 0.03  | 1602711 | 3.8434          |
| 3.4525        | 1.03  | 1679031 | 3.8458          |
| 3.4464        | 0.03  | 1755351 | 3.8472          |
| 3.4375        | 1.03  | 1831671 | 3.8468          |
| 3.4228        | 0.03  | 1907991 | 3.8502          |
| 3.4133        | 1.03  | 1984311 | 3.8497          |
| 3.4024        | 0.03  | 2060631 | 3.8522          |
| 3.3884        | 1.03  | 2136951 | 3.8521          |
| 3.3802        | 0.03  | 2213271 | 3.8547          |
| 3.3687        | 1.03  | 2289591 | 3.8551          |
| 3.357         | 0.03  | 2365911 | 3.8567          |
| 3.3491        | 0.03  | 2442231 | 3.8573          |
| 3.3373        | 0.03  | 2518551 | 3.8573          |
| 3.3252        | 1.03  | 2594871 | 3.8583          |
| 3.3165        | 0.03  | 2671191 | 3.8585          |
| 3.308         | 1.03  | 2747511 | 3.8583          |
| 3.3053        | 0.03  | 2823831 | 3.8585          |
| 3.3008        | 1.03  | 2900151 | 3.8585          |
| 3.2966        | 0.03  | 2976471 | 3.8579          |
| 3.294         | 0.02  | 3052726 | 3.8574          |


### Framework versions

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