transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: existential-there-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. -->

# existential-there-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: 3.8614

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2255        | 0.03  | 76320   | 4.1981          |
| 4.0196        | 1.03  | 152640  | 4.0287          |
| 3.9092        | 0.03  | 228960  | 3.9539          |
| 3.8408        | 1.03  | 305280  | 3.9129          |
| 3.7902        | 0.03  | 381600  | 3.8885          |
| 3.7501        | 1.03  | 457920  | 3.8713          |
| 3.7154        | 0.03  | 534240  | 3.8614          |
| 3.6838        | 1.03  | 610560  | 3.8546          |
| 3.6538        | 0.03  | 686880  | 3.8502          |
| 3.627         | 1.03  | 763200  | 3.8468          |
| 3.6059        | 0.03  | 839520  | 3.8452          |
| 3.5882        | 1.03  | 915840  | 3.8449          |
| 3.571         | 0.03  | 992160  | 3.8447          |
| 3.5498        | 1.03  | 1068480 | 3.8448          |
| 3.5367        | 0.03  | 1144800 | 3.8457          |
| 3.524         | 1.03  | 1221120 | 3.8458          |
| 3.51          | 0.03  | 1297440 | 3.8483          |
| 3.4957        | 1.03  | 1373760 | 3.8493          |
| 3.481         | 0.03  | 1450080 | 3.8503          |
| 3.4717        | 1.03  | 1526400 | 3.8522          |
| 3.462         | 0.03  | 1602720 | 3.8515          |
| 3.4542        | 1.03  | 1679040 | 3.8540          |
| 3.4453        | 0.03  | 1755360 | 3.8545          |
| 3.433         | 1.03  | 1831680 | 3.8568          |
| 3.4173        | 0.03  | 1908000 | 3.8572          |
| 3.4063        | 0.03  | 1984320 | 3.8582          |
| 3.3948        | 1.03  | 2060640 | 3.8601          |
| 3.3869        | 0.03  | 2136960 | 3.8600          |
| 3.3774        | 1.03  | 2213280 | 3.8616          |
| 3.3635        | 0.03  | 2289600 | 3.8610          |
| 3.3569        | 1.03  | 2365920 | 3.8627          |
| 3.348         | 0.03  | 2442240 | 3.8634          |
| 3.3387        | 0.03  | 2518560 | 3.8641          |
| 3.3283        | 1.03  | 2594880 | 3.8637          |
| 3.3184        | 0.03  | 2671200 | 3.8642          |
| 3.313         | 1.03  | 2747520 | 3.8644          |
| 3.3042        | 0.03  | 2823840 | 3.8639          |
| 3.3007        | 1.03  | 2900160 | 3.8634          |
| 3.2948        | 0.03  | 2976480 | 3.8620          |
| 3.2876        | 1.02  | 3052726 | 3.8614          |


### Framework versions

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