---
language:
- he
license: apache-2.0
base_model: openai/whisper-medium
tags:
- hf-asr-leaderboard
- generated_from_trainer
metrics:
- precision
- recall
- f1
model-index:
- name: he
  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. -->

# he

This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3168
- Precision: 0.1010
- Recall: 0.1098
- F1: 0.1051
- Precision Median: 0.0
- Recall Median: 0.0
- F1 Median: 0.0
- Precision Max: 0.5
- Recall Max: 0.5333
- F1 Max: 0.5161
- Precision Min: 0.0
- Recall Min: 0.0
- F1 Min: 0.0

## 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: 1e-06
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- training_steps: 800
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Precision Median | Recall Median | F1 Median | Precision Max | Recall Max | F1 Max | Precision Min | Recall Min | F1 Min |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:----------------:|:-------------:|:---------:|:-------------:|:----------:|:------:|:-------------:|:----------:|:------:|
| 3.5705        | 0.32  | 200  | 2.7306          | 0.0       | 0.0    | 0.0    | 0.0              | 0.0           | 0.0       | 0             | 0          | 0      | 0             | 0          | 0      |
| 2.0183        | 0.63  | 400  | 1.6209          | 0.0341    | 0.0373 | 0.0356 | 0.0              | 0.0           | 0.0       | 0.4375        | 0.4667     | 0.4516 | 0.0           | 0.0        | 0.0    |
| 1.6646        | 0.95  | 600  | 1.3710          | 0.1062    | 0.1151 | 0.1103 | 0.0              | 0.0           | 0.0       | 0.5           | 0.5333     | 0.5161 | 0.0           | 0.0        | 0.0    |
| 1.6004        | 1.27  | 800  | 1.3168          | 0.1010    | 0.1098 | 0.1051 | 0.0              | 0.0           | 0.0       | 0.5           | 0.5333     | 0.5161 | 0.0           | 0.0        | 0.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0