transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: superlative-quantifier-lstm-2
  results: []
---

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# superlative-quantifier-lstm-2

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: 3.9856

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7739        | 0.03  | 76320   | 4.7591          |
| 4.4948        | 1.03  | 152640  | 4.4813          |
| 4.3521        | 0.03  | 228960  | 4.3474          |
| 4.2673        | 1.03  | 305280  | 4.2657          |
| 4.2044        | 0.03  | 381600  | 4.2106          |
| 4.1584        | 1.03  | 457920  | 4.1697          |
| 4.1237        | 0.03  | 534240  | 4.1397          |
| 4.0937        | 1.03  | 610560  | 4.1153          |
| 4.0646        | 0.03  | 686880  | 4.0961          |
| 4.0397        | 1.03  | 763200  | 4.0802          |
| 4.0188        | 0.03  | 839520  | 4.0677          |
| 3.9979        | 1.03  | 915840  | 4.0576          |
| 3.9875        | 0.03  | 992160  | 4.0478          |
| 3.9694        | 1.03  | 1068480 | 4.0406          |
| 3.9548        | 0.03  | 1144800 | 4.0342          |
| 3.9407        | 0.03  | 1221120 | 4.0289          |
| 3.9259        | 1.03  | 1297440 | 4.0236          |
| 3.9208        | 2.03  | 1373760 | 4.0188          |
| 3.9086        | 0.03  | 1450080 | 4.0158          |
| 3.9049        | 1.03  | 1526400 | 4.0122          |
| 3.9024        | 2.03  | 1602720 | 4.0090          |
| 3.8964        | 0.03  | 1679040 | 4.0069          |
| 3.8947        | 0.03  | 1755360 | 4.0043          |
| 3.8923        | 0.03  | 1831680 | 4.0024          |
| 3.8834        | 0.03  | 1908000 | 4.0003          |
| 3.8735        | 1.03  | 1984320 | 3.9990          |
| 3.8695        | 0.03  | 2060640 | 3.9974          |
| 3.8628        | 1.03  | 2136960 | 3.9960          |
| 3.8635        | 2.03  | 2213280 | 3.9948          |
| 3.8567        | 0.03  | 2289600 | 3.9936          |
| 3.8478        | 1.03  | 2365920 | 3.9924          |
| 3.8426        | 2.03  | 2442240 | 3.9914          |
| 3.8355        | 0.03  | 2518560 | 3.9904          |
| 3.8351        | 0.03  | 2594880 | 3.9893          |
| 3.8282        | 1.03  | 2671200 | 3.9884          |
| 3.8322        | 2.03  | 2747520 | 3.9875          |
| 3.8311        | 0.03  | 2823840 | 3.9872          |
| 3.8322        | 0.03  | 2900160 | 3.9865          |
| 3.8356        | 1.03  | 2976480 | 3.9860          |
| 3.8367        | 2.02  | 3052726 | 3.9856          |


### Framework versions

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