transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: superlative-quantifier-lstm-4
  results: []
---

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# superlative-quantifier-lstm-4

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: 3.9898

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7903        | 0.03  | 76320   | 4.7765          |
| 4.5105        | 1.03  | 152640  | 4.4958          |
| 4.3672        | 0.03  | 228960  | 4.3606          |
| 4.282         | 1.03  | 305280  | 4.2770          |
| 4.2196        | 0.03  | 381600  | 4.2205          |
| 4.1715        | 1.03  | 457920  | 4.1797          |
| 4.1356        | 2.03  | 534240  | 4.1483          |
| 4.1053        | 0.03  | 610560  | 4.1234          |
| 4.0757        | 1.03  | 686880  | 4.1042          |
| 4.0511        | 2.03  | 763200  | 4.0878          |
| 4.0272        | 0.03  | 839520  | 4.0751          |
| 4.009         | 1.03  | 915840  | 4.0643          |
| 3.9972        | 0.03  | 992160  | 4.0550          |
| 3.9818        | 1.03  | 1068480 | 4.0474          |
| 3.9665        | 0.03  | 1144800 | 4.0404          |
| 3.9515        | 1.03  | 1221120 | 4.0340          |
| 3.9376        | 0.03  | 1297440 | 4.0286          |
| 3.9283        | 1.03  | 1373760 | 4.0239          |
| 3.9186        | 0.03  | 1450080 | 4.0205          |
| 3.9169        | 1.03  | 1526400 | 4.0173          |
| 3.9113        | 0.03  | 1602720 | 4.0143          |
| 3.9058        | 1.03  | 1679040 | 4.0113          |
| 3.9044        | 2.03  | 1755360 | 4.0088          |
| 3.8991        | 0.03  | 1831680 | 4.0061          |
| 3.891         | 1.03  | 1908000 | 4.0039          |
| 3.8847        | 0.03  | 1984320 | 4.0019          |
| 3.8766        | 0.03  | 2060640 | 4.0003          |
| 3.8712        | 1.03  | 2136960 | 3.9989          |
| 3.8716        | 0.03  | 2213280 | 3.9979          |
| 3.8644        | 0.03  | 2289600 | 3.9967          |
| 3.8586        | 1.03  | 2365920 | 3.9958          |
| 3.8509        | 2.03  | 2442240 | 3.9947          |
| 3.8473        | 0.03  | 2518560 | 3.9940          |
| 3.8436        | 1.03  | 2594880 | 3.9932          |
| 3.8378        | 2.03  | 2671200 | 3.9925          |
| 3.8413        | 0.03  | 2747520 | 3.9915          |
| 3.8424        | 0.03  | 2823840 | 3.9909          |
| 3.8415        | 1.03  | 2900160 | 3.9904          |
| 3.843         | 0.03  | 2976480 | 3.9900          |
| 3.8446        | 1.02  | 3052726 | 3.9898          |


### Framework versions

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