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-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# full-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: 3.8586

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2263        | 0.03  | 76319   | 4.1915          |
| 4.0206        | 0.03  | 152638  | 4.0222          |
| 3.9134        | 0.03  | 228957  | 3.9480          |
| 3.8415        | 0.03  | 305276  | 3.9065          |
| 3.7892        | 0.03  | 381595  | 3.8822          |
| 3.7441        | 0.03  | 457914  | 3.8657          |
| 3.7141        | 0.03  | 534233  | 3.8559          |
| 3.6863        | 0.03  | 610552  | 3.8489          |
| 3.656         | 0.03  | 686871  | 3.8444          |
| 3.6321        | 0.03  | 763190  | 3.8424          |
| 3.6117        | 1.03  | 839509  | 3.8410          |
| 3.5988        | 0.03  | 915829  | 3.8357          |
| 3.5827        | 1.03  | 992149  | 3.8355          |
| 3.5611        | 0.03  | 1068469 | 3.8370          |
| 3.5415        | 1.03  | 1144789 | 3.8377          |
| 3.5289        | 0.03  | 1221109 | 3.8383          |
| 3.5099        | 1.03  | 1297429 | 3.8404          |
| 3.4976        | 0.03  | 1373749 | 3.8415          |
| 3.484         | 0.03  | 1450069 | 3.8435          |
| 3.4693        | 1.03  | 1526389 | 3.8449          |
| 3.4647        | 0.03  | 1602709 | 3.8460          |
| 3.4563        | 1.03  | 1679029 | 3.8485          |
| 3.4495        | 0.03  | 1755349 | 3.8494          |
| 3.4402        | 1.03  | 1831669 | 3.8513          |
| 3.4261        | 0.03  | 1907989 | 3.8521          |
| 3.4155        | 1.03  | 1984309 | 3.8544          |
| 3.4063        | 0.03  | 2060629 | 3.8541          |
| 3.3912        | 0.03  | 2136949 | 3.8547          |
| 3.3839        | 1.03  | 2213269 | 3.8563          |
| 3.3722        | 0.03  | 2289589 | 3.8577          |
| 3.3597        | 1.03  | 2365909 | 3.8587          |
| 3.3509        | 0.03  | 2442229 | 3.8590          |
| 3.338         | 0.03  | 2518549 | 3.8601          |
| 3.3275        | 0.03  | 2594869 | 3.8601          |
| 3.3179        | 0.03  | 2671189 | 3.8601          |
| 3.3068        | 1.03  | 2747509 | 3.8606          |
| 3.306         | 0.03  | 2823829 | 3.8600          |
| 3.3005        | 1.03  | 2900149 | 3.8602          |
| 3.2976        | 0.03  | 2976469 | 3.8597          |
| 3.2904        | 1.02  | 3052726 | 3.8586          |


### Framework versions

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