transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: full2-transformer-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# full2-transformer-3

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: 3.8634

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2206        | 0.03  | 76320   | 4.1916          |
| 4.0169        | 1.03  | 152640  | 4.0236          |
| 3.9099        | 0.03  | 228960  | 3.9506          |
| 3.8437        | 1.03  | 305280  | 3.9106          |
| 3.7918        | 0.03  | 381600  | 3.8857          |
| 3.7519        | 1.03  | 457920  | 3.8689          |
| 3.7218        | 0.03  | 534240  | 3.8581          |
| 3.6904        | 1.03  | 610560  | 3.8518          |
| 3.6603        | 0.03  | 686880  | 3.8468          |
| 3.6377        | 1.03  | 763200  | 3.8447          |
| 3.6135        | 0.03  | 839520  | 3.8432          |
| 3.5916        | 1.03  | 915840  | 3.8415          |
| 3.5781        | 0.03  | 992160  | 3.8417          |
| 3.5586        | 1.03  | 1068480 | 3.8418          |
| 3.5407        | 0.03  | 1144800 | 3.8439          |
| 3.525         | 1.03  | 1221120 | 3.8447          |
| 3.5057        | 0.03  | 1297440 | 3.8447          |
| 3.4938        | 1.03  | 1373760 | 3.8463          |
| 3.4784        | 0.03  | 1450080 | 3.8474          |
| 3.4732        | 1.03  | 1526400 | 3.8485          |
| 3.4634        | 0.03  | 1602720 | 3.8501          |
| 3.4544        | 1.03  | 1679040 | 3.8525          |
| 3.448         | 0.03  | 1755360 | 3.8527          |
| 3.4382        | 0.03  | 1831680 | 3.8545          |
| 3.4259        | 0.03  | 1908000 | 3.8566          |
| 3.4159        | 1.03  | 1984320 | 3.8575          |
| 3.4029        | 0.03  | 2060640 | 3.8589          |
| 3.3911        | 0.03  | 2136960 | 3.8601          |
| 3.3832        | 0.03  | 2213280 | 3.8616          |
| 3.3725        | 0.03  | 2289600 | 3.8614          |
| 3.3585        | 1.03  | 2365920 | 3.8622          |
| 3.3487        | 0.03  | 2442240 | 3.8639          |
| 3.3357        | 1.03  | 2518560 | 3.8639          |
| 3.3261        | 0.03  | 2594880 | 3.8644          |
| 3.3146        | 0.03  | 2671200 | 3.8653          |
| 3.3102        | 1.03  | 2747520 | 3.8654          |
| 3.3041        | 0.03  | 2823840 | 3.8652          |
| 3.2998        | 1.03  | 2900160 | 3.8649          |
| 3.2998        | 0.03  | 2976480 | 3.8644          |
| 3.2926        | 1.02  | 3052726 | 3.8634          |


### Framework versions

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