---
license: mit
base_model: microsoft/deberta-v3-small
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: copilot_relex_v1_with_context
  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. -->

# copilot_relex_v1_with_context

This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0299
- Accuracy: 0.0075
- F1: 0.0127
- Precision: 0.0064
- Recall: 0.8358
- Learning Rate: 0.0

## 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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Rate   |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
| No log        | 1.0   | 26   | 0.5156          | 0.0531   | 0.0154 | 0.0078    | 0.9701 | 0.0000 |
| No log        | 2.0   | 52   | 0.3270          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 3.0   | 78   | 0.1951          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 4.0   | 104  | 0.1153          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 5.0   | 130  | 0.0759          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 6.0   | 156  | 0.0584          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 7.0   | 182  | 0.0503          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 8.0   | 208  | 0.0462          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 9.0   | 234  | 0.0440          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 10.0  | 260  | 0.0427          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 11.0  | 286  | 0.0419          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 12.0  | 312  | 0.0413          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 13.0  | 338  | 0.0410          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 14.0  | 364  | 0.0407          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 15.0  | 390  | 0.0405          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 16.0  | 416  | 0.0403          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 17.0  | 442  | 0.0402          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 18.0  | 468  | 0.0400          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| No log        | 19.0  | 494  | 0.0399          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 20.0  | 520  | 0.0397          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 21.0  | 546  | 0.0388          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 22.0  | 572  | 0.0388          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 23.0  | 598  | 0.0387          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 24.0  | 624  | 0.0375          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 25.0  | 650  | 0.0376          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 26.0  | 676  | 0.0369          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 27.0  | 702  | 0.0367          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 28.0  | 728  | 0.0373          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 29.0  | 754  | 0.0362          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 30.0  | 780  | 0.0361          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 31.0  | 806  | 0.0358          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 32.0  | 832  | 0.0355          | 0.0077   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 33.0  | 858  | 0.0329          | 0.0073   | 0.0145 | 0.0073    | 0.9552 | 0.0000 |
| 0.1144        | 34.0  | 884  | 0.0327          | 0.0078   | 0.0152 | 0.0077    | 1.0    | 0.0000 |
| 0.1144        | 35.0  | 910  | 0.0328          | 0.0074   | 0.0147 | 0.0074    | 0.9701 | 0.0000 |
| 0.1144        | 36.0  | 936  | 0.0324          | 0.0075   | 0.0147 | 0.0074    | 0.9701 | 0.0000 |
| 0.1144        | 37.0  | 962  | 0.0316          | 0.0075   | 0.0147 | 0.0074    | 0.9701 | 0.0000 |
| 0.1144        | 38.0  | 988  | 0.0326          | 0.0075   | 0.0145 | 0.0073    | 0.9552 | 0.0000 |
| 0.029         | 39.0  | 1014 | 0.0312          | 0.0074   | 0.0145 | 0.0073    | 0.9552 | 0.0000 |
| 0.029         | 40.0  | 1040 | 0.0313          | 0.0072   | 0.0141 | 0.0071    | 0.9254 | 0.0000 |
| 0.029         | 41.0  | 1066 | 0.0320          | 0.0073   | 0.0143 | 0.0072    | 0.9403 | 0.0000 |
| 0.029         | 42.0  | 1092 | 0.0316          | 0.0074   | 0.0145 | 0.0073    | 0.9552 | 0.0000 |
| 0.029         | 43.0  | 1118 | 0.0310          | 0.0072   | 0.0136 | 0.0069    | 0.8955 | 0.0000 |
| 0.029         | 44.0  | 1144 | 0.0311          | 0.0072   | 0.0141 | 0.0071    | 0.9254 | 0.0000 |
| 0.029         | 45.0  | 1170 | 0.0310          | 0.0072   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.029         | 46.0  | 1196 | 0.0312          | 0.0071   | 0.0134 | 0.0067    | 0.8806 | 0.0000 |
| 0.029         | 47.0  | 1222 | 0.0308          | 0.0071   | 0.0134 | 0.0067    | 0.8806 | 0.0000 |
| 0.029         | 48.0  | 1248 | 0.0312          | 0.0072   | 0.0136 | 0.0069    | 0.8955 | 0.0000 |
| 0.029         | 49.0  | 1274 | 0.0309          | 0.0073   | 0.0136 | 0.0069    | 0.8955 | 0.0000 |
| 0.029         | 50.0  | 1300 | 0.0307          | 0.0070   | 0.0129 | 0.0065    | 0.8507 | 1e-05  |
| 0.029         | 51.0  | 1326 | 0.0303          | 0.0071   | 0.0134 | 0.0067    | 0.8806 | 0.0000 |
| 0.029         | 52.0  | 1352 | 0.0307          | 0.0073   | 0.0134 | 0.0067    | 0.8806 | 0.0000 |
| 0.029         | 53.0  | 1378 | 0.0309          | 0.0073   | 0.0134 | 0.0067    | 0.8806 | 0.0000 |
| 0.029         | 54.0  | 1404 | 0.0312          | 0.0072   | 0.0136 | 0.0069    | 0.8955 | 0.0000 |
| 0.029         | 55.0  | 1430 | 0.0303          | 0.0073   | 0.0136 | 0.0069    | 0.8955 | 9e-06  |
| 0.029         | 56.0  | 1456 | 0.0300          | 0.0071   | 0.0132 | 0.0066    | 0.8657 | 0.0000 |
| 0.029         | 57.0  | 1482 | 0.0301          | 0.0069   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.0205        | 58.0  | 1508 | 0.0302          | 0.0072   | 0.0132 | 0.0066    | 0.8657 | 0.0000 |
| 0.0205        | 59.0  | 1534 | 0.0303          | 0.0071   | 0.0129 | 0.0065    | 0.8507 | 0.0000 |
| 0.0205        | 60.0  | 1560 | 0.0308          | 0.0073   | 0.0132 | 0.0066    | 0.8657 | 0.0000 |
| 0.0205        | 61.0  | 1586 | 0.0309          | 0.0074   | 0.0136 | 0.0069    | 0.8955 | 0.0000 |
| 0.0205        | 62.0  | 1612 | 0.0306          | 0.0078   | 0.0130 | 0.0065    | 0.8507 | 0.0000 |
| 0.0205        | 63.0  | 1638 | 0.0308          | 0.0077   | 0.0130 | 0.0065    | 0.8507 | 0.0000 |
| 0.0205        | 64.0  | 1664 | 0.0303          | 0.0071   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.0205        | 65.0  | 1690 | 0.0312          | 0.0077   | 0.0132 | 0.0066    | 0.8657 | 7e-06  |
| 0.0205        | 66.0  | 1716 | 0.0304          | 0.0073   | 0.0132 | 0.0066    | 0.8657 | 0.0000 |
| 0.0205        | 67.0  | 1742 | 0.0305          | 0.0073   | 0.0132 | 0.0066    | 0.8657 | 0.0000 |
| 0.0205        | 68.0  | 1768 | 0.0304          | 0.0074   | 0.0132 | 0.0066    | 0.8657 | 0.0000 |
| 0.0205        | 69.0  | 1794 | 0.0306          | 0.0072   | 0.0129 | 0.0065    | 0.8507 | 0.0000 |
| 0.0205        | 70.0  | 1820 | 0.0314          | 0.0080   | 0.0134 | 0.0068    | 0.8806 | 6e-06  |
| 0.0205        | 71.0  | 1846 | 0.0314          | 0.0075   | 0.0132 | 0.0066    | 0.8657 | 0.0000 |
| 0.0205        | 72.0  | 1872 | 0.0307          | 0.0075   | 0.0132 | 0.0066    | 0.8657 | 0.0000 |
| 0.0205        | 73.0  | 1898 | 0.0300          | 0.0075   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.0205        | 74.0  | 1924 | 0.0301          | 0.0072   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.0205        | 75.0  | 1950 | 0.0297          | 0.0075   | 0.0132 | 0.0066    | 0.8657 | 5e-06  |
| 0.0205        | 76.0  | 1976 | 0.0306          | 0.0075   | 0.0130 | 0.0065    | 0.8507 | 0.0000 |
| 0.016         | 77.0  | 2002 | 0.0299          | 0.0073   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 78.0  | 2028 | 0.0301          | 0.0074   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 79.0  | 2054 | 0.0301          | 0.0078   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.016         | 80.0  | 2080 | 0.0306          | 0.0078   | 0.0130 | 0.0065    | 0.8507 | 0.0000 |
| 0.016         | 81.0  | 2106 | 0.0302          | 0.0073   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 82.0  | 2132 | 0.0305          | 0.0073   | 0.0129 | 0.0065    | 0.8507 | 0.0000 |
| 0.016         | 83.0  | 2158 | 0.0303          | 0.0073   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.016         | 84.0  | 2184 | 0.0302          | 0.0072   | 0.0129 | 0.0065    | 0.8507 | 0.0000 |
| 0.016         | 85.0  | 2210 | 0.0302          | 0.0072   | 0.0127 | 0.0064    | 0.8358 | 3e-06  |
| 0.016         | 86.0  | 2236 | 0.0299          | 0.0072   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 87.0  | 2262 | 0.0296          | 0.0069   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 88.0  | 2288 | 0.0299          | 0.0073   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.016         | 89.0  | 2314 | 0.0297          | 0.0072   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 90.0  | 2340 | 0.0296          | 0.0073   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 91.0  | 2366 | 0.0299          | 0.0071   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 92.0  | 2392 | 0.0293          | 0.0071   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 93.0  | 2418 | 0.0301          | 0.0073   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.016         | 94.0  | 2444 | 0.0294          | 0.0071   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 95.0  | 2470 | 0.0296          | 0.0072   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.016         | 96.0  | 2496 | 0.0298          | 0.0074   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.0136        | 97.0  | 2522 | 0.0299          | 0.0073   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.0136        | 98.0  | 2548 | 0.0298          | 0.0074   | 0.0125 | 0.0063    | 0.8209 | 0.0000 |
| 0.0136        | 99.0  | 2574 | 0.0299          | 0.0075   | 0.0127 | 0.0064    | 0.8358 | 0.0000 |
| 0.0136        | 100.0 | 2600 | 0.0299          | 0.0075   | 0.0127 | 0.0064    | 0.8358 | 0.0    |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1