End of training
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: my_awesome_speach_model
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results: []
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# my_awesome_speach_model
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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## Model description
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 0.8889 | 6 | 0.7057 | 0.4615 |
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| 0.6512 | 1.9259 | 13 | 0.6923 | 0.5385 |
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| 0.6819 | 2.9630 | 20 | 0.6917 | 0.6154 |
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| 0.6819 | 4.0 | 27 | 0.7738 | 0.3846 |
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| 0.6486 | 4.8889 | 33 | 0.6841 | 0.6154 |
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| 0.6129 | 5.9259 | 40 | 0.6876 | 0.5385 |
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| 0.6129 | 6.9630 | 47 | 0.6623 | 0.6154 |
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| 0.5563 | 8.0 | 54 | 0.6732 | 0.5385 |
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| 0.5264 | 8.8889 | 60 | 0.6878 | 0.6154 |
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### Framework versions
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---
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library_name: transformers
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license: apache-2.0
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base_model: ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition
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tags:
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- generated_from_trainer
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model-index:
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- name: my_awesome_speach_model
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results: []
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# my_awesome_speach_model
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This model is a fine-tuned version of [ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition](https://huggingface.co/ehcalabres/wav2vec2-lg-xlsr-en-speech-emotion-recognition) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.9911
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- eval_accuracy: 0.6154
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- eval_runtime: 0.2115
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- eval_samples_per_second: 61.478
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- eval_steps_per_second: 18.916
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- epoch: 26.9630
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- step: 182
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## Model description
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 100
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### Framework versions
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model.safetensors
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runs/Dec15_19-31-56_c40aaf450fcd/events.out.tfevents.1734291117.c40aaf450fcd.404.6
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