File size: 3,336 Bytes
c404ebe |
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: pp-mod-subj2-transformer-3
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. -->
# pp-mod-subj2-transformer-3
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: 3.9229
## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2304 | 0.03 | 76320 | 4.2434 |
| 4.0273 | 1.03 | 152640 | 4.0739 |
| 3.9168 | 0.03 | 228960 | 3.9985 |
| 3.8483 | 1.03 | 305280 | 3.9588 |
| 3.799 | 0.03 | 381600 | 3.9349 |
| 3.75 | 0.03 | 457920 | 3.9180 |
| 3.7146 | 1.03 | 534240 | 3.9084 |
| 3.6816 | 0.03 | 610560 | 3.9017 |
| 3.6536 | 1.03 | 686880 | 3.8982 |
| 3.6321 | 0.03 | 763200 | 3.8960 |
| 3.6052 | 1.03 | 839520 | 3.8936 |
| 3.5849 | 0.03 | 915840 | 3.8942 |
| 3.5686 | 1.03 | 992160 | 3.8936 |
| 3.5512 | 0.03 | 1068480 | 3.8955 |
| 3.5337 | 1.03 | 1144800 | 3.8962 |
| 3.5182 | 0.03 | 1221120 | 3.8980 |
| 3.5053 | 1.03 | 1297440 | 3.9001 |
| 3.4935 | 0.03 | 1373760 | 3.9003 |
| 3.4789 | 1.03 | 1450080 | 3.9032 |
| 3.4708 | 0.03 | 1526400 | 3.9033 |
| 3.4644 | 1.03 | 1602720 | 3.9063 |
| 3.4495 | 0.03 | 1679040 | 3.9084 |
| 3.4367 | 1.03 | 1755360 | 3.9119 |
| 3.4234 | 0.03 | 1831680 | 3.9138 |
| 3.4104 | 1.03 | 1908000 | 3.9149 |
| 3.403 | 0.03 | 1984320 | 3.9162 |
| 3.3885 | 1.03 | 2060640 | 3.9171 |
| 3.3782 | 0.03 | 2136960 | 3.9195 |
| 3.3693 | 1.03 | 2213280 | 3.9197 |
| 3.3588 | 0.03 | 2289600 | 3.9216 |
| 3.3474 | 0.03 | 2365920 | 3.9225 |
| 3.3383 | 0.03 | 2442240 | 3.9235 |
| 3.3305 | 1.03 | 2518560 | 3.9250 |
| 3.322 | 0.03 | 2594880 | 3.9253 |
| 3.3136 | 1.03 | 2671200 | 3.9247 |
| 3.3064 | 0.03 | 2747520 | 3.9262 |
| 3.3045 | 0.03 | 2823840 | 3.9255 |
| 3.2906 | 1.03 | 2900160 | 3.9256 |
| 3.2833 | 0.03 | 2976480 | 3.9249 |
| 3.2756 | 1.02 | 3052726 | 3.9229 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
|