Model save

README.md

@@ -0,0 +1,88 @@
+---
+library_name: transformers
+license: cc-by-nc-4.0
+base_model: facebook/mms-1b-all
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: mms-1b-bemgen-male-model-test
+  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-1b-bemgen-male-model-test
+
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3060
+- Wer: 0.4447
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- 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    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 6.9809        | 0.1034 | 100  | 1.3139          | 0.9957 |
+| 0.745         | 0.2068 | 200  | 0.4297          | 0.5882 |
+| 0.5423        | 0.3102 | 300  | 0.3886          | 0.5644 |
+| 0.539         | 0.4137 | 400  | 0.3683          | 0.5448 |
+| 0.5277        | 0.5171 | 500  | 0.3529          | 0.5083 |
+| 0.4708        | 0.6205 | 600  | 0.3493          | 0.4997 |
+| 0.4889        | 0.7239 | 700  | 0.3467          | 0.5096 |
+| 0.4793        | 0.8273 | 800  | 0.3407          | 0.4818 |
+| 0.469         | 0.9307 | 900  | 0.3455          | 0.4958 |
+| 0.4407        | 1.0341 | 1000 | 0.3329          | 0.4735 |
+| 0.4524        | 1.1375 | 1100 | 0.3289          | 0.4879 |
+| 0.4416        | 1.2410 | 1200 | 0.3280          | 0.4911 |
+| 0.4599        | 1.3444 | 1300 | 0.3285          | 0.4765 |
+| 0.4739        | 1.4478 | 1400 | 0.3221          | 0.4694 |
+| 0.4466        | 1.5512 | 1500 | 0.3196          | 0.4588 |
+| 0.4483        | 1.6546 | 1600 | 0.3144          | 0.4526 |
+| 0.4543        | 1.7580 | 1700 | 0.3170          | 0.4528 |
+| 0.4537        | 1.8614 | 1800 | 0.3141          | 0.4522 |
+| 0.4293        | 1.9648 | 1900 | 0.3106          | 0.4453 |
+| 0.4457        | 2.0683 | 2000 | 0.3134          | 0.4651 |
+| 0.4214        | 2.1717 | 2100 | 0.3119          | 0.4543 |
+| 0.4103        | 2.2751 | 2200 | 0.3089          | 0.4391 |
+| 0.407         | 2.3785 | 2300 | 0.3053          | 0.4331 |
+| 0.4314        | 2.4819 | 2400 | 0.3059          | 0.4337 |
+| 0.4144        | 2.5853 | 2500 | 0.3054          | 0.4382 |
+| 0.4099        | 2.6887 | 2600 | 0.3060          | 0.4447 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed91a16f597fd0920a5e38e3e0b27b4397879abdf407cb9437064365e9c5fc66
+oid sha256:0be6af1da6c9b23a9f0d52b66731dc1c03c38fdc9ce49e8e32934e4fb8cc72d5
 size 3858890924