End of training

README.md

@@ -0,0 +1,82 @@
+---
+language:
+- ro
+base_model: iulik-udrik/vreme_model_tiny
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- iulik-pisik/vreme_horoscop_tiny
+metrics:
+- wer
+model-index:
+- name: Vreme Model Tiny - finetuned on horoscope
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Horoscop Neti Sandu
+      type: iulik-pisik/vreme_horoscop_tiny
+      config: default
+      split: None
+      args: 'config: ro, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 23.339011925042588
+---
+
+<!-- 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. -->
+
+# Vreme Model Tiny - finetuned on horoscope
+
+This model is a fine-tuned version of [iulik-udrik/vreme_model_tiny](https://huggingface.co/iulik-udrik/vreme_model_tiny) on the Horoscop Neti Sandu dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4493
+- Wer: 23.3390
+
+## 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-05
+- train_batch_size: 16
+- 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: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0345        | 9.71  | 1000 | 0.3666          | 23.7527 |
+| 0.0022        | 19.42 | 2000 | 0.4232          | 22.7306 |
+| 0.0011        | 29.13 | 3000 | 0.4421          | 23.1930 |
+| 0.0009        | 38.83 | 4000 | 0.4493          | 23.3390 |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+}

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