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-3
  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. -->

# superlative-quantifier-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: 3.8809

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2274        | 0.03  | 76320   | 4.2122          |
| 4.0217        | 1.03  | 152640  | 4.0429          |
| 3.9138        | 0.03  | 228960  | 3.9681          |
| 3.847         | 1.03  | 305280  | 3.9266          |
| 3.7968        | 0.03  | 381600  | 3.9022          |
| 3.7555        | 1.03  | 457920  | 3.8854          |
| 3.7231        | 0.03  | 534240  | 3.8756          |
| 3.696         | 1.03  | 610560  | 3.8691          |
| 3.6687        | 0.03  | 686880  | 3.8645          |
| 3.642         | 1.03  | 763200  | 3.8634          |
| 3.6205        | 0.03  | 839520  | 3.8609          |
| 3.5972        | 1.03  | 915840  | 3.8607          |
| 3.5832        | 0.03  | 992160  | 3.8597          |
| 3.564         | 0.03  | 1068480 | 3.8614          |
| 3.5446        | 1.03  | 1144800 | 3.8617          |
| 3.5275        | 0.03  | 1221120 | 3.8629          |
| 3.5116        | 1.03  | 1297440 | 3.8646          |
| 3.4951        | 0.03  | 1373760 | 3.8642          |
| 3.4826        | 1.03  | 1450080 | 3.8669          |
| 3.4759        | 0.03  | 1526400 | 3.8677          |
| 3.466         | 1.03  | 1602720 | 3.8688          |
| 3.456         | 0.03  | 1679040 | 3.8713          |
| 3.4498        | 0.03  | 1755360 | 3.8724          |
| 3.4418        | 1.03  | 1831680 | 3.8738          |
| 3.4263        | 0.03  | 1908000 | 3.8743          |
| 3.4157        | 0.03  | 1984320 | 3.8782          |
| 3.4027        | 1.03  | 2060640 | 3.8770          |
| 3.3903        | 0.03  | 2136960 | 3.8805          |
| 3.3845        | 0.03  | 2213280 | 3.8793          |
| 3.3713        | 0.03  | 2289600 | 3.8804          |
| 3.3606        | 1.03  | 2365920 | 3.8811          |
| 3.3478        | 0.03  | 2442240 | 3.8819          |
| 3.3346        | 0.03  | 2518560 | 3.8828          |
| 3.3264        | 1.03  | 2594880 | 3.8833          |
| 3.3163        | 0.03  | 2671200 | 3.8837          |
| 3.3109        | 0.03  | 2747520 | 3.8838          |
| 3.3066        | 1.03  | 2823840 | 3.8829          |
| 3.3018        | 0.03  | 2900160 | 3.8825          |
| 3.2973        | 1.03  | 2976480 | 3.8817          |
| 3.2935        | 0.02  | 3052726 | 3.8809          |


### Framework versions

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