Model save

README.md

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+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: mms-meta/mms-zeroshot-300m
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: mms-zeroshot-300m-genbed-f-model
+  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. -->
+
+# mms-zeroshot-300m-genbed-f-model
+
+This model is a fine-tuned version of [mms-meta/mms-zeroshot-300m](https://huggingface.co/mms-meta/mms-zeroshot-300m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2131
+- Wer: 0.3720
+
+## 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: 0.0003
+- train_batch_size: 8
+- 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: 100
+- num_epochs: 30.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| No log        | 0.5479  | 200  | 2.3236          | 1.0    |
+| No log        | 1.0959  | 400  | 0.3331          | 0.5504 |
+| 2.6731        | 1.6438  | 600  | 0.2969          | 0.5190 |
+| 2.6731        | 2.1918  | 800  | 0.2806          | 0.5122 |
+| 0.4193        | 2.7397  | 1000 | 0.2701          | 0.4742 |
+| 0.4193        | 3.2877  | 1200 | 0.2703          | 0.4770 |
+| 0.4193        | 3.8356  | 1400 | 0.2574          | 0.4758 |
+| 0.367         | 4.3836  | 1600 | 0.2487          | 0.4547 |
+| 0.367         | 4.9315  | 1800 | 0.2472          | 0.4337 |
+| 0.3377        | 5.4795  | 2000 | 0.2424          | 0.4467 |
+| 0.3377        | 6.0274  | 2200 | 0.2372          | 0.4274 |
+| 0.3377        | 6.5753  | 2400 | 0.2366          | 0.4225 |
+| 0.3282        | 7.1233  | 2600 | 0.2339          | 0.4104 |
+| 0.3282        | 7.6712  | 2800 | 0.2352          | 0.4193 |
+| 0.3018        | 8.2192  | 3000 | 0.2249          | 0.4097 |
+| 0.3018        | 8.7671  | 3200 | 0.2254          | 0.4065 |
+| 0.3018        | 9.3151  | 3400 | 0.2251          | 0.4021 |
+| 0.2945        | 9.8630  | 3600 | 0.2248          | 0.3969 |
+| 0.2945        | 10.4110 | 3800 | 0.2212          | 0.4002 |
+| 0.2843        | 10.9589 | 4000 | 0.2200          | 0.3920 |
+| 0.2843        | 11.5068 | 4200 | 0.2183          | 0.3853 |
+| 0.2843        | 12.0548 | 4400 | 0.2174          | 0.3890 |
+| 0.2755        | 12.6027 | 4600 | 0.2163          | 0.3955 |
+| 0.2755        | 13.1507 | 4800 | 0.2197          | 0.3894 |
+| 0.2699        | 13.6986 | 5000 | 0.2163          | 0.3899 |
+| 0.2699        | 14.2466 | 5200 | 0.2129          | 0.3769 |
+| 0.2699        | 14.7945 | 5400 | 0.2114          | 0.3759 |
+| 0.2568        | 15.3425 | 5600 | 0.2100          | 0.3721 |
+| 0.2568        | 15.8904 | 5800 | 0.2140          | 0.3670 |
+| 0.2521        | 16.4384 | 6000 | 0.2149          | 0.3743 |
+| 0.2521        | 16.9863 | 6200 | 0.2131          | 0.3720 |
+
+
+### Framework versions
+
+- Transformers 4.46.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

model.safetensors

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