transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: npi-sent-neg-transformer-4
  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. -->

# npi-sent-neg-transformer-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: 3.8656

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2294        | 0.03  | 76320   | 4.1976          |
| 4.0258        | 1.03  | 152640  | 4.0278          |
| 3.9153        | 0.03  | 228960  | 3.9533          |
| 3.8506        | 1.03  | 305280  | 3.9122          |
| 3.7999        | 0.03  | 381600  | 3.8867          |
| 3.7591        | 1.03  | 457920  | 3.8711          |
| 3.7275        | 0.03  | 534240  | 3.8604          |
| 3.6964        | 1.03  | 610560  | 3.8532          |
| 3.6674        | 0.03  | 686880  | 3.8489          |
| 3.6392        | 1.03  | 763200  | 3.8465          |
| 3.6147        | 0.03  | 839520  | 3.8450          |
| 3.5948        | 0.03  | 915840  | 3.8441          |
| 3.575         | 1.03  | 992160  | 3.8453          |
| 3.5534        | 0.03  | 1068480 | 3.8445          |
| 3.5379        | 1.03  | 1144800 | 3.8452          |
| 3.5285        | 0.03  | 1221120 | 3.8465          |
| 3.5112        | 1.03  | 1297440 | 3.8482          |
| 3.5024        | 0.03  | 1373760 | 3.8482          |
| 3.4844        | 1.03  | 1450080 | 3.8503          |
| 3.4812        | 0.03  | 1526400 | 3.8522          |
| 3.4704        | 1.03  | 1602720 | 3.8541          |
| 3.4636        | 0.03  | 1679040 | 3.8544          |
| 3.4543        | 1.03  | 1755360 | 3.8559          |
| 3.4423        | 0.03  | 1831680 | 3.8573          |
| 3.4292        | 1.03  | 1908000 | 3.8595          |
| 3.4145        | 0.03  | 1984320 | 3.8600          |
| 3.4003        | 1.03  | 2060640 | 3.8617          |
| 3.3921        | 0.03  | 2136960 | 3.8631          |
| 3.3779        | 1.03  | 2213280 | 3.8630          |
| 3.3635        | 0.03  | 2289600 | 3.8653          |
| 3.3548        | 1.03  | 2365920 | 3.8652          |
| 3.3528        | 0.03  | 2442240 | 3.8671          |
| 3.3407        | 1.03  | 2518560 | 3.8685          |
| 3.3356        | 0.03  | 2594880 | 3.8683          |
| 3.3213        | 1.03  | 2671200 | 3.8682          |
| 3.3205        | 0.03  | 2747520 | 3.8687          |
| 3.3126        | 1.03  | 2823840 | 3.8683          |
| 3.3079        | 0.03  | 2900160 | 3.8675          |
| 3.3038        | 0.03  | 2976480 | 3.8673          |
| 3.2973        | 1.02  | 3052726 | 3.8656          |


### Framework versions

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