transformers pytorch rnn generated_from_trainer endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: rel-cl2-lstm-0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rel-cl2-lstm-0

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: 3.9753

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7969        | 0.03  | 76320   | 4.7632          |
| 4.5095        | 1.03  | 152640  | 4.4761          |
| 4.3676        | 0.03  | 228960  | 4.3396          |
| 4.2783        | 1.03  | 305280  | 4.2578          |
| 4.2173        | 0.03  | 381600  | 4.2011          |
| 4.1732        | 1.03  | 457920  | 4.1603          |
| 4.1335        | 0.03  | 534240  | 4.1303          |
| 4.1006        | 1.03  | 610560  | 4.1066          |
| 4.0695        | 0.03  | 686880  | 4.0870          |
| 4.0465        | 1.03  | 763200  | 4.0715          |
| 4.0224        | 0.03  | 839520  | 4.0582          |
| 4.0057        | 1.03  | 915840  | 4.0470          |
| 3.9883        | 0.03  | 992160  | 4.0386          |
| 3.9732        | 1.03  | 1068480 | 4.0313          |
| 3.9651        | 0.03  | 1144800 | 4.0252          |
| 3.9525        | 1.03  | 1221120 | 4.0188          |
| 3.9385        | 0.03  | 1297440 | 4.0134          |
| 3.929         | 0.03  | 1373760 | 4.0089          |
| 3.9225        | 1.03  | 1450080 | 4.0052          |
| 3.9149        | 2.03  | 1526400 | 4.0018          |
| 3.9108        | 0.03  | 1602720 | 3.9988          |
| 3.9075        | 1.03  | 1679040 | 3.9958          |
| 3.9004        | 0.03  | 1755360 | 3.9936          |
| 3.8954        | 1.03  | 1831680 | 3.9913          |
| 3.8852        | 0.03  | 1908000 | 3.9891          |
| 3.881         | 1.03  | 1984320 | 3.9874          |
| 3.8755        | 0.03  | 2060640 | 3.9854          |
| 3.8688        | 0.03  | 2136960 | 3.9840          |
| 3.8632        | 1.03  | 2213280 | 3.9830          |
| 3.8571        | 0.03  | 2289600 | 3.9818          |
| 3.8571        | 1.03  | 2365920 | 3.9805          |
| 3.853         | 0.03  | 2442240 | 3.9794          |
| 3.8473        | 1.03  | 2518560 | 3.9785          |
| 3.8449        | 0.03  | 2594880 | 3.9777          |
| 3.8444        | 1.03  | 2671200 | 3.9773          |
| 3.8426        | 0.03  | 2747520 | 3.9766          |
| 3.8423        | 1.03  | 2823840 | 3.9763          |
| 3.844         | 0.03  | 2900160 | 3.9760          |
| 3.8417        | 1.03  | 2976480 | 3.9755          |
| 3.8393        | 0.02  | 3052726 | 3.9753          |


### Framework versions

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