End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: catsOfpeople/speecht5_finetuned_emirhan_soomea
+tags:
+- generated_from_trainer
+model-index:
+- name: speecht5_soome-V2
+  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. -->
+
+# speecht5_soome-V2
+
+This model is a fine-tuned version of [catsOfpeople/speecht5_finetuned_emirhan_soomea](https://huggingface.co/catsOfpeople/speecht5_finetuned_emirhan_soomea) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2695
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 3500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss |
+|:-------------:|:--------:|:----:|:---------------:|
+| 0.9648        | 4.5198   | 100  | 0.4308          |
+| 0.4495        | 9.0395   | 200  | 0.3583          |
+| 0.384         | 13.5593  | 300  | 0.3418          |
+| 0.3637        | 18.0791  | 400  | 0.3177          |
+| 0.3443        | 22.5989  | 500  | 0.3119          |
+| 0.3366        | 27.1186  | 600  | 0.3099          |
+| 0.3328        | 31.6384  | 700  | 0.3222          |
+| 0.3238        | 36.1582  | 800  | 0.3091          |
+| 0.3196        | 40.6780  | 900  | 0.2960          |
+| 0.3156        | 45.1977  | 1000 | 0.2977          |
+| 0.3123        | 49.7175  | 1100 | 0.2960          |
+| 0.3107        | 54.2373  | 1200 | 0.2904          |
+| 0.3029        | 58.7571  | 1300 | 0.2891          |
+| 0.2978        | 63.2768  | 1400 | 0.2904          |
+| 0.3012        | 67.7966  | 1500 | 0.2855          |
+| 0.2977        | 72.3164  | 1600 | 0.2863          |
+| 0.2915        | 76.8362  | 1700 | 0.2855          |
+| 0.2935        | 81.3559  | 1800 | 0.2853          |
+| 0.2877        | 85.8757  | 1900 | 0.2794          |
+| 0.2839        | 90.3955  | 2000 | 0.2820          |
+| 0.2847        | 94.9153  | 2100 | 0.2781          |
+| 0.2831        | 99.4350  | 2200 | 0.2799          |
+| 0.283         | 103.9548 | 2300 | 0.2811          |
+| 0.2792        | 108.4746 | 2400 | 0.2774          |
+| 0.2788        | 112.9944 | 2500 | 0.2813          |
+| 0.2793        | 117.5141 | 2600 | 0.2755          |
+| 0.2746        | 122.0339 | 2700 | 0.2769          |
+| 0.2735        | 126.5537 | 2800 | 0.2729          |
+| 0.2728        | 131.0734 | 2900 | 0.2764          |
+| 0.2735        | 135.5932 | 3000 | 0.2751          |
+| 0.2726        | 140.1130 | 3100 | 0.2754          |
+| 0.2691        | 144.6328 | 3200 | 0.2707          |
+| 0.2711        | 149.1525 | 3300 | 0.2717          |
+| 0.2679        | 153.6723 | 3400 | 0.2724          |
+| 0.2665        | 158.1921 | 3500 | 0.2695          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 1876,
+  "pad_token_id": 1,
+  "transformers_version": "4.44.2"
+}