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

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# existential-there-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: 3.9956

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.8395        | 0.03  | 76320   | 4.7977          |
| 4.5474        | 1.03  | 152640  | 4.5109          |
| 4.4015        | 0.03  | 228960  | 4.3723          |
| 4.3064        | 1.03  | 305280  | 4.2870          |
| 4.245         | 0.03  | 381600  | 4.2297          |
| 4.1964        | 1.03  | 457920  | 4.1873          |
| 4.1603        | 0.03  | 534240  | 4.1561          |
| 4.1312        | 1.03  | 610560  | 4.1313          |
| 4.102         | 0.03  | 686880  | 4.1114          |
| 4.0817        | 1.03  | 763200  | 4.0951          |
| 4.0587        | 0.03  | 839520  | 4.0820          |
| 4.0367        | 1.03  | 915840  | 4.0709          |
| 4.0242        | 0.03  | 992160  | 4.0620          |
| 4.008         | 1.03  | 1068480 | 4.0537          |
| 3.9878        | 0.03  | 1144800 | 4.0458          |
| 3.9807        | 1.03  | 1221120 | 4.0401          |
| 3.9693        | 0.03  | 1297440 | 4.0351          |
| 3.9571        | 1.03  | 1373760 | 4.0307          |
| 3.9487        | 0.03  | 1450080 | 4.0271          |
| 3.9399        | 1.03  | 1526400 | 4.0231          |
| 3.937         | 0.03  | 1602720 | 4.0198          |
| 3.931         | 1.03  | 1679040 | 4.0166          |
| 3.9284        | 0.03  | 1755360 | 4.0143          |
| 3.9273        | 0.03  | 1831680 | 4.0123          |
| 3.9169        | 1.03  | 1908000 | 4.0098          |
| 3.9161        | 0.03  | 1984320 | 4.0084          |
| 3.9107        | 1.03  | 2060640 | 4.0066          |
| 3.9021        | 0.03  | 2136960 | 4.0053          |
| 3.8983        | 1.03  | 2213280 | 4.0038          |
| 3.8927        | 0.03  | 2289600 | 4.0029          |
| 3.8835        | 1.03  | 2365920 | 4.0017          |
| 3.8847        | 0.03  | 2442240 | 4.0006          |
| 3.8779        | 0.03  | 2518560 | 3.9999          |
| 3.8749        | 0.03  | 2594880 | 3.9989          |
| 3.8715        | 1.03  | 2671200 | 3.9982          |
| 3.8664        | 0.03  | 2747520 | 3.9975          |
| 3.8704        | 1.03  | 2823840 | 3.9968          |
| 3.8676        | 0.03  | 2900160 | 3.9962          |
| 3.872         | 1.03  | 2976480 | 3.9960          |
| 3.8715        | 0.02  | 3052726 | 3.9956          |


### Framework versions

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