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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: 2.5738
- Accuracy: 0.3041

## 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   | 9    | 1.7645          | 0.4076   |
| 1.7866        | 2.0   | 18   | 1.7565          | 0.4076   |
| 1.7798        | 3.0   | 27   | 1.7455          | 0.4076   |
| 1.7644        | 4.0   | 36   | 1.7316          | 0.4076   |
| 1.7493        | 5.0   | 45   | 1.7171          | 0.4181   |
| 1.7117        | 6.0   | 54   | 1.7175          | 0.4233   |
| 1.7218        | 7.0   | 63   | 1.7061          | 0.4220   |
| 1.6752        | 8.0   | 72   | 1.7257          | 0.3958   |
| 1.6892        | 9.0   | 81   | 1.7137          | 0.4181   |
| 1.6567        | 10.0  | 90   | 1.7058          | 0.4220   |
| 1.6567        | 11.0  | 99   | 1.7144          | 0.4299   |
| 1.6334        | 12.0  | 108  | 1.7087          | 0.4076   |
| 1.6437        | 13.0  | 117  | 1.7158          | 0.4273   |
| 1.6167        | 14.0  | 126  | 1.7296          | 0.4076   |
| 1.5712        | 15.0  | 135  | 1.7449          | 0.4168   |
| 1.5781        | 16.0  | 144  | 1.7459          | 0.4246   |
| 1.5872        | 17.0  | 153  | 1.7217          | 0.4168   |
| 1.5484        | 18.0  | 162  | 1.7471          | 0.4128   |
| 1.4936        | 19.0  | 171  | 1.7770          | 0.3893   |
| 1.4869        | 20.0  | 180  | 1.7677          | 0.4076   |
| 1.4869        | 21.0  | 189  | 1.8222          | 0.3709   |
| 1.4602        | 22.0  | 198  | 1.7785          | 0.4024   |
| 1.4563        | 23.0  | 207  | 1.8191          | 0.4024   |
| 1.3762        | 24.0  | 216  | 1.7934          | 0.4115   |
| 1.3903        | 25.0  | 225  | 1.8111          | 0.3919   |
| 1.3899        | 26.0  | 234  | 1.9607          | 0.3185   |
| 1.3592        | 27.0  | 243  | 1.8800          | 0.3775   |
| 1.3378        | 28.0  | 252  | 1.8500          | 0.4063   |
| 1.3135        | 29.0  | 261  | 1.8792          | 0.3840   |
| 1.2669        | 30.0  | 270  | 1.9259          | 0.3735   |
| 1.2669        | 31.0  | 279  | 2.0078          | 0.3224   |
| 1.2779        | 32.0  | 288  | 1.9653          | 0.3421   |
| 1.2368        | 33.0  | 297  | 1.9823          | 0.3499   |
| 1.2116        | 34.0  | 306  | 1.9602          | 0.3775   |
| 1.1851        | 35.0  | 315  | 2.0362          | 0.3447   |
| 1.1703        | 36.0  | 324  | 2.0193          | 0.3434   |
| 1.1224        | 37.0  | 333  | 2.0363          | 0.3552   |
| 1.1211        | 38.0  | 342  | 2.0817          | 0.3277   |
| 1.0862        | 39.0  | 351  | 2.0775          | 0.3355   |
| 1.0847        | 40.0  | 360  | 2.1078          | 0.3303   |
| 1.0847        | 41.0  | 369  | 2.1608          | 0.3067   |
| 1.0448        | 42.0  | 378  | 2.0996          | 0.3591   |
| 1.0356        | 43.0  | 387  | 2.1416          | 0.3329   |
| 1.008         | 44.0  | 396  | 2.1892          | 0.3250   |
| 1.0018        | 45.0  | 405  | 2.1390          | 0.3408   |
| 0.9606        | 46.0  | 414  | 2.2137          | 0.3250   |
| 0.9489        | 47.0  | 423  | 2.1843          | 0.3329   |
| 0.9404        | 48.0  | 432  | 2.2826          | 0.2988   |
| 0.9483        | 49.0  | 441  | 2.2073          | 0.3355   |
| 0.9101        | 50.0  | 450  | 2.1827          | 0.3565   |
| 0.9101        | 51.0  | 459  | 2.2765          | 0.3185   |
| 0.896         | 52.0  | 468  | 2.2909          | 0.3080   |
| 0.8558        | 53.0  | 477  | 2.2816          | 0.3014   |
| 0.8433        | 54.0  | 486  | 2.2215          | 0.3342   |
| 0.8194        | 55.0  | 495  | 2.2022          | 0.3565   |
| 0.8436        | 56.0  | 504  | 2.2139          | 0.3630   |
| 0.7808        | 57.0  | 513  | 2.2970          | 0.3054   |
| 0.8009        | 58.0  | 522  | 2.3081          | 0.3329   |
| 0.7575        | 59.0  | 531  | 2.3105          | 0.3119   |
| 0.7894        | 60.0  | 540  | 2.3786          | 0.3028   |
| 0.7894        | 61.0  | 549  | 2.3072          | 0.3185   |
| 0.7532        | 62.0  | 558  | 2.3318          | 0.3014   |
| 0.7222        | 63.0  | 567  | 2.3697          | 0.3172   |
| 0.7116        | 64.0  | 576  | 2.4125          | 0.3198   |
| 0.7286        | 65.0  | 585  | 2.3694          | 0.3119   |
| 0.6906        | 66.0  | 594  | 2.3974          | 0.3028   |
| 0.6642        | 67.0  | 603  | 2.4020          | 0.3001   |
| 0.6737        | 68.0  | 612  | 2.3513          | 0.3316   |
| 0.6571        | 69.0  | 621  | 2.3638          | 0.3447   |
| 0.6482        | 70.0  | 630  | 2.4507          | 0.3014   |
| 0.6482        | 71.0  | 639  | 2.4796          | 0.2831   |
| 0.6407        | 72.0  | 648  | 2.4475          | 0.3119   |
| 0.6198        | 73.0  | 657  | 2.5029          | 0.2883   |
| 0.6087        | 74.0  | 666  | 2.4490          | 0.3119   |
| 0.6074        | 75.0  | 675  | 2.4068          | 0.3316   |
| 0.5941        | 76.0  | 684  | 2.4878          | 0.3106   |
| 0.5922        | 77.0  | 693  | 2.5032          | 0.2988   |
| 0.6028        | 78.0  | 702  | 2.4904          | 0.3054   |
| 0.5867        | 79.0  | 711  | 2.4592          | 0.3224   |
| 0.5677        | 80.0  | 720  | 2.5277          | 0.2936   |
| 0.5677        | 81.0  | 729  | 2.4852          | 0.3211   |
| 0.5459        | 82.0  | 738  | 2.5210          | 0.3014   |
| 0.5346        | 83.0  | 747  | 2.5432          | 0.3001   |
| 0.5572        | 84.0  | 756  | 2.4974          | 0.3172   |
| 0.5246        | 85.0  | 765  | 2.5649          | 0.3001   |
| 0.5163        | 86.0  | 774  | 2.5256          | 0.3198   |
| 0.5231        | 87.0  | 783  | 2.5010          | 0.3224   |
| 0.5141        | 88.0  | 792  | 2.5648          | 0.2975   |
| 0.5014        | 89.0  | 801  | 2.5405          | 0.3080   |
| 0.5125        | 90.0  | 810  | 2.5851          | 0.2988   |
| 0.5125        | 91.0  | 819  | 2.5525          | 0.3001   |
| 0.4922        | 92.0  | 828  | 2.5313          | 0.3263   |
| 0.5109        | 93.0  | 837  | 2.5660          | 0.3028   |
| 0.4847        | 94.0  | 846  | 2.5406          | 0.3132   |
| 0.4702        | 95.0  | 855  | 2.5681          | 0.3028   |
| 0.4929        | 96.0  | 864  | 2.5796          | 0.2988   |
| 0.4653        | 97.0  | 873  | 2.5813          | 0.2962   |
| 0.4866        | 98.0  | 882  | 2.5720          | 0.3028   |
| 0.4591        | 99.0  | 891  | 2.5717          | 0.3054   |
| 0.4891        | 100.0 | 900  | 2.5738          | 0.3041   |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0
- Datasets 2.19.2.dev0
- Tokenizers 0.19.1