transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: rel-cl-lstm-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. -->

# rel-cl-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: 3.9792

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7938        | 0.03  | 76319   | 4.7559          |
| 4.5099        | 0.03  | 152638  | 4.4756          |
| 4.3688        | 1.03  | 228957  | 4.3427          |
| 4.2817        | 0.03  | 305276  | 4.2613          |
| 4.2191        | 1.03  | 381595  | 4.2047          |
| 4.1676        | 0.03  | 457914  | 4.1641          |
| 4.1315        | 0.03  | 534233  | 4.1336          |
| 4.1017        | 0.03  | 610552  | 4.1102          |
| 4.0701        | 1.03  | 686871  | 4.0906          |
| 4.05          | 0.03  | 763190  | 4.0741          |
| 4.0306        | 1.03  | 839509  | 4.0620          |
| 4.0118        | 0.03  | 915828  | 4.0515          |
| 3.992         | 0.03  | 992147  | 4.0427          |
| 3.9801        | 1.03  | 1068466 | 4.0348          |
| 3.9659        | 0.03  | 1144785 | 4.0278          |
| 3.9568        | 1.03  | 1221104 | 4.0221          |
| 3.9456        | 0.03  | 1297424 | 4.0166          |
| 3.9318        | 1.03  | 1373744 | 4.0121          |
| 3.9242        | 0.03  | 1450064 | 4.0080          |
| 3.9185        | 1.03  | 1526384 | 4.0051          |
| 3.9133        | 0.03  | 1602704 | 4.0016          |
| 3.9104        | 0.03  | 1679024 | 3.9993          |
| 3.9076        | 1.03  | 1755344 | 3.9968          |
| 3.8999        | 0.03  | 1831664 | 3.9944          |
| 3.8906        | 1.03  | 1907984 | 3.9928          |
| 3.8829        | 0.03  | 1984304 | 3.9910          |
| 3.879         | 1.03  | 2060624 | 3.9893          |
| 3.874         | 0.03  | 2136944 | 3.9882          |
| 3.8682        | 1.03  | 2213264 | 3.9871          |
| 3.8628        | 0.03  | 2289584 | 3.9859          |
| 3.8627        | 0.03  | 2365904 | 3.9848          |
| 3.86          | 0.03  | 2442224 | 3.9838          |
| 3.8535        | 1.03  | 2518544 | 3.9829          |
| 3.8496        | 0.03  | 2594864 | 3.9822          |
| 3.8468        | 1.03  | 2671184 | 3.9813          |
| 3.8472        | 0.03  | 2747504 | 3.9811          |
| 3.8477        | 1.03  | 2823824 | 3.9803          |
| 3.8478        | 0.03  | 2900144 | 3.9800          |
| 3.8477        | 0.03  | 2976464 | 3.9796          |
| 3.8446        | 0.02  | 3052726 | 3.9792          |


### Framework versions

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