transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: superlative-quantifier-transformer-1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# superlative-quantifier-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: 3.8811

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2257        | 0.03  | 76320   | 4.2120          |
| 4.0221        | 1.03  | 152640  | 4.0416          |
| 3.9131        | 0.03  | 228960  | 3.9674          |
| 3.8475        | 1.03  | 305280  | 3.9266          |
| 3.7974        | 0.03  | 381600  | 3.9019          |
| 3.7557        | 1.03  | 457920  | 3.8863          |
| 3.7223        | 0.03  | 534240  | 3.8759          |
| 3.696         | 1.03  | 610560  | 3.8692          |
| 3.668         | 0.03  | 686880  | 3.8648          |
| 3.6404        | 1.03  | 763200  | 3.8614          |
| 3.619         | 0.03  | 839520  | 3.8603          |
| 3.5962        | 1.03  | 915840  | 3.8590          |
| 3.5817        | 0.03  | 992160  | 3.8601          |
| 3.5625        | 0.03  | 1068480 | 3.8599          |
| 3.544         | 0.03  | 1144800 | 3.8615          |
| 3.5279        | 1.03  | 1221120 | 3.8617          |
| 3.5119        | 0.03  | 1297440 | 3.8635          |
| 3.4993        | 1.03  | 1373760 | 3.8644          |
| 3.4836        | 0.03  | 1450080 | 3.8650          |
| 3.4751        | 0.03  | 1526400 | 3.8681          |
| 3.467         | 0.03  | 1602720 | 3.8682          |
| 3.4583        | 0.03  | 1679040 | 3.8708          |
| 3.451         | 1.03  | 1755360 | 3.8718          |
| 3.4441        | 0.03  | 1831680 | 3.8737          |
| 3.429         | 0.03  | 1908000 | 3.8752          |
| 3.4162        | 1.03  | 1984320 | 3.8754          |
| 3.4051        | 0.03  | 2060640 | 3.8770          |
| 3.3914        | 0.03  | 2136960 | 3.8770          |
| 3.3854        | 0.03  | 2213280 | 3.8788          |
| 3.3745        | 1.03  | 2289600 | 3.8804          |
| 3.3613        | 0.03  | 2365920 | 3.8813          |
| 3.3479        | 1.03  | 2442240 | 3.8816          |
| 3.3373        | 0.03  | 2518560 | 3.8827          |
| 3.3284        | 0.03  | 2594880 | 3.8824          |
| 3.3156        | 0.03  | 2671200 | 3.8829          |
| 3.3124        | 1.03  | 2747520 | 3.8831          |
| 3.3082        | 0.03  | 2823840 | 3.8832          |
| 3.3015        | 0.03  | 2900160 | 3.8824          |
| 3.2982        | 1.03  | 2976480 | 3.8816          |
| 3.2944        | 0.02  | 3052726 | 3.8811          |


### Framework versions

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