File size: 3,322 Bytes
b08aa34 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 |
---
tags:
- generated_from_trainer
model-index:
- name: det-adj-noun-lstm-1
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. -->
# det-adj-noun-lstm-1
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: 3.9727
## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.7832 | 0.03 | 76320 | 4.7597 |
| 4.4992 | 1.03 | 152640 | 4.4788 |
| 4.3571 | 0.03 | 228960 | 4.3438 |
| 4.272 | 1.03 | 305280 | 4.2605 |
| 4.2094 | 0.03 | 381600 | 4.2038 |
| 4.1669 | 1.03 | 457920 | 4.1628 |
| 4.1303 | 0.03 | 534240 | 4.1326 |
| 4.0933 | 1.03 | 610560 | 4.1074 |
| 4.0657 | 0.03 | 686880 | 4.0887 |
| 4.0392 | 1.03 | 763200 | 4.0723 |
| 4.0198 | 0.03 | 839520 | 4.0596 |
| 4.0043 | 1.03 | 915840 | 4.0480 |
| 3.9927 | 0.03 | 992160 | 4.0387 |
| 3.9725 | 1.03 | 1068480 | 4.0308 |
| 3.9583 | 0.03 | 1144800 | 4.0238 |
| 3.9411 | 1.03 | 1221120 | 4.0183 |
| 3.9254 | 0.03 | 1297440 | 4.0133 |
| 3.9197 | 1.03 | 1373760 | 4.0086 |
| 3.9094 | 0.03 | 1450080 | 4.0041 |
| 3.9077 | 1.03 | 1526400 | 4.0009 |
| 3.9019 | 0.03 | 1602720 | 3.9976 |
| 3.9002 | 1.03 | 1679040 | 3.9948 |
| 3.899 | 0.03 | 1755360 | 3.9922 |
| 3.8897 | 1.03 | 1831680 | 3.9904 |
| 3.8814 | 0.03 | 1908000 | 3.9883 |
| 3.8736 | 1.03 | 1984320 | 3.9864 |
| 3.8683 | 0.03 | 2060640 | 3.9846 |
| 3.8652 | 1.03 | 2136960 | 3.9830 |
| 3.8635 | 0.03 | 2213280 | 3.9815 |
| 3.8543 | 1.03 | 2289600 | 3.9798 |
| 3.8502 | 0.03 | 2365920 | 3.9782 |
| 3.8411 | 1.03 | 2442240 | 3.9775 |
| 3.8327 | 0.03 | 2518560 | 3.9765 |
| 3.8332 | 1.03 | 2594880 | 3.9755 |
| 3.8276 | 0.03 | 2671200 | 3.9749 |
| 3.8342 | 1.03 | 2747520 | 3.9743 |
| 3.8353 | 0.03 | 2823840 | 3.9737 |
| 3.8354 | 1.03 | 2900160 | 3.9734 |
| 3.8389 | 0.03 | 2976480 | 3.9730 |
| 3.835 | 1.02 | 3052726 | 3.9727 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
|