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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SER_model_xapiens
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. -->
# SER_model_xapiens
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0600
- Accuracy: 0.7
## 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: 3e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 2.6350 | 0.7167 |
| No log | 2.0 | 2 | 2.7406 | 0.7167 |
| No log | 3.0 | 3 | 2.8632 | 0.7 |
| No log | 4.0 | 4 | 2.8745 | 0.7 |
| No log | 5.0 | 5 | 2.9112 | 0.7 |
| No log | 6.0 | 6 | 2.9644 | 0.6833 |
| No log | 7.0 | 7 | 3.3638 | 0.65 |
| No log | 8.0 | 8 | 3.8127 | 0.5833 |
| No log | 9.0 | 9 | 4.2359 | 0.5833 |
| 0.0038 | 10.0 | 10 | 3.7159 | 0.6167 |
| 0.0038 | 11.0 | 11 | 3.2066 | 0.65 |
| 0.0038 | 12.0 | 12 | 2.9436 | 0.7333 |
| 0.0038 | 13.0 | 13 | 3.1083 | 0.7 |
| 0.0038 | 14.0 | 14 | 3.4327 | 0.6833 |
| 0.0038 | 15.0 | 15 | 3.4017 | 0.6833 |
| 0.0038 | 16.0 | 16 | 3.1088 | 0.7 |
| 0.0038 | 17.0 | 17 | 2.9279 | 0.7 |
| 0.0038 | 18.0 | 18 | 2.9036 | 0.7333 |
| 0.0038 | 19.0 | 19 | 2.9245 | 0.7167 |
| 0.0097 | 20.0 | 20 | 2.8291 | 0.7333 |
| 0.0097 | 21.0 | 21 | 2.8655 | 0.7 |
| 0.0097 | 22.0 | 22 | 2.7505 | 0.7167 |
| 0.0097 | 23.0 | 23 | 2.6406 | 0.7333 |
| 0.0097 | 24.0 | 24 | 2.6017 | 0.7333 |
| 0.0097 | 25.0 | 25 | 2.5550 | 0.75 |
| 0.0097 | 26.0 | 26 | 2.5972 | 0.75 |
| 0.0097 | 27.0 | 27 | 2.6193 | 0.7333 |
| 0.0097 | 28.0 | 28 | 2.6949 | 0.7167 |
| 0.0097 | 29.0 | 29 | 2.8405 | 0.6833 |
| 0.0052 | 30.0 | 30 | 2.8552 | 0.7 |
| 0.0052 | 31.0 | 31 | 2.7041 | 0.7 |
| 0.0052 | 32.0 | 32 | 2.5161 | 0.7333 |
| 0.0052 | 33.0 | 33 | 2.4609 | 0.7333 |
| 0.0052 | 34.0 | 34 | 2.4119 | 0.7333 |
| 0.0052 | 35.0 | 35 | 2.3811 | 0.75 |
| 0.0052 | 36.0 | 36 | 2.4323 | 0.75 |
| 0.0052 | 37.0 | 37 | 2.6068 | 0.75 |
| 0.0052 | 38.0 | 38 | 2.6425 | 0.75 |
| 0.0052 | 39.0 | 39 | 2.6534 | 0.75 |
| 0.004 | 40.0 | 40 | 2.6643 | 0.7333 |
| 0.004 | 41.0 | 41 | 2.6912 | 0.7167 |
| 0.004 | 42.0 | 42 | 2.7284 | 0.7 |
| 0.004 | 43.0 | 43 | 2.7621 | 0.7 |
| 0.004 | 44.0 | 44 | 2.7870 | 0.7 |
| 0.004 | 45.0 | 45 | 2.8085 | 0.7 |
| 0.004 | 46.0 | 46 | 2.8251 | 0.7 |
| 0.004 | 47.0 | 47 | 2.8478 | 0.7167 |
| 0.004 | 48.0 | 48 | 2.8729 | 0.7 |
| 0.004 | 49.0 | 49 | 2.8999 | 0.7 |
| 0.0001 | 50.0 | 50 | 2.9256 | 0.7 |
| 0.0001 | 51.0 | 51 | 2.9287 | 0.7 |
| 0.0001 | 52.0 | 52 | 2.8962 | 0.7 |
| 0.0001 | 53.0 | 53 | 2.8783 | 0.6833 |
| 0.0001 | 54.0 | 54 | 2.8959 | 0.7167 |
| 0.0001 | 55.0 | 55 | 2.8606 | 0.7167 |
| 0.0001 | 56.0 | 56 | 2.7337 | 0.7167 |
| 0.0001 | 57.0 | 57 | 2.7450 | 0.7 |
| 0.0001 | 58.0 | 58 | 2.9678 | 0.6667 |
| 0.0001 | 59.0 | 59 | 3.1560 | 0.6667 |
| 0.0145 | 60.0 | 60 | 3.4292 | 0.6333 |
| 0.0145 | 61.0 | 61 | 3.5474 | 0.6167 |
| 0.0145 | 62.0 | 62 | 3.6343 | 0.6167 |
| 0.0145 | 63.0 | 63 | 3.5805 | 0.6167 |
| 0.0145 | 64.0 | 64 | 3.5623 | 0.6333 |
| 0.0145 | 65.0 | 65 | 3.5532 | 0.6333 |
| 0.0145 | 66.0 | 66 | 3.6041 | 0.6 |
| 0.0145 | 67.0 | 67 | 3.7335 | 0.6 |
| 0.0145 | 68.0 | 68 | 3.8447 | 0.6 |
| 0.0145 | 69.0 | 69 | 3.8997 | 0.6167 |
| 0.0001 | 70.0 | 70 | 3.8381 | 0.6167 |
| 0.0001 | 71.0 | 71 | 3.7951 | 0.6 |
| 0.0001 | 72.0 | 72 | 3.8582 | 0.6 |
| 0.0001 | 73.0 | 73 | 3.8983 | 0.6 |
| 0.0001 | 74.0 | 74 | 3.8225 | 0.6167 |
| 0.0001 | 75.0 | 75 | 3.6746 | 0.65 |
| 0.0001 | 76.0 | 76 | 3.5636 | 0.65 |
| 0.0001 | 77.0 | 77 | 3.5198 | 0.6667 |
| 0.0001 | 78.0 | 78 | 3.4888 | 0.6667 |
| 0.0001 | 79.0 | 79 | 3.4752 | 0.65 |
| 0.004 | 80.0 | 80 | 3.4661 | 0.65 |
| 0.004 | 81.0 | 81 | 3.4177 | 0.65 |
| 0.004 | 82.0 | 82 | 3.3299 | 0.65 |
| 0.004 | 83.0 | 83 | 3.2658 | 0.6667 |
| 0.004 | 84.0 | 84 | 3.2386 | 0.6833 |
| 0.004 | 85.0 | 85 | 3.2177 | 0.7 |
| 0.004 | 86.0 | 86 | 3.1985 | 0.7 |
| 0.004 | 87.0 | 87 | 3.1800 | 0.7 |
| 0.004 | 88.0 | 88 | 3.1624 | 0.7 |
| 0.004 | 89.0 | 89 | 3.1451 | 0.7 |
| 0.0001 | 90.0 | 90 | 3.1292 | 0.7 |
| 0.0001 | 91.0 | 91 | 3.1145 | 0.7 |
| 0.0001 | 92.0 | 92 | 3.1022 | 0.7 |
| 0.0001 | 93.0 | 93 | 3.0917 | 0.7 |
| 0.0001 | 94.0 | 94 | 3.0817 | 0.7 |
| 0.0001 | 95.0 | 95 | 3.0753 | 0.7 |
| 0.0001 | 96.0 | 96 | 3.0691 | 0.7 |
| 0.0001 | 97.0 | 97 | 3.0658 | 0.7 |
| 0.0001 | 98.0 | 98 | 3.0623 | 0.7 |
| 0.0001 | 99.0 | 99 | 3.0608 | 0.7 |
| 0.0 | 100.0 | 100 | 3.0600 | 0.7 |
### Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.0
- Datasets 2.19.2.dev0
- Tokenizers 0.19.1
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