Model save

README.md

@@ -0,0 +1,87 @@
+---
+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-swagen-female-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-1b-swagen-female-model
+
+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: 0.2065
+- Wer: 0.1896
+
+## 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
+- training_steps: 2500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 8.5907        | 0.1176 | 100  | 4.5590          | 1.0    |
+| 4.3006        | 0.2353 | 200  | 4.2573          | 1.0    |
+| 4.1906        | 0.3529 | 300  | 3.8436          | 1.0    |
+| 1.1198        | 0.4706 | 400  | 0.2569          | 0.1996 |
+| 0.3012        | 0.5882 | 500  | 0.2466          | 0.1942 |
+| 0.2919        | 0.7059 | 600  | 0.2501          | 0.1990 |
+| 0.267         | 0.8235 | 700  | 0.2353          | 0.1894 |
+| 0.2666        | 0.9412 | 800  | 0.2280          | 0.1904 |
+| 0.2396        | 1.0588 | 900  | 0.2238          | 0.1892 |
+| 0.258         | 1.1765 | 1000 | 0.2202          | 0.1898 |
+| 0.2192        | 1.2941 | 1100 | 0.2196          | 0.1938 |
+| 0.2353        | 1.4118 | 1200 | 0.2169          | 0.1875 |
+| 0.2398        | 1.5294 | 1300 | 0.2164          | 0.1896 |
+| 0.2419        | 1.6471 | 1400 | 0.2146          | 0.1913 |
+| 0.2582        | 1.7647 | 1500 | 0.2122          | 0.1905 |
+| 0.2417        | 1.8824 | 1600 | 0.2105          | 0.1861 |
+| 0.2375        | 2.0    | 1700 | 0.2091          | 0.1892 |
+| 0.2353        | 2.1176 | 1800 | 0.2087          | 0.1882 |
+| 0.23          | 2.2353 | 1900 | 0.2091          | 0.1904 |
+| 0.2378        | 2.3529 | 2000 | 0.2067          | 0.1898 |
+| 0.2343        | 2.4706 | 2100 | 0.2061          | 0.1890 |
+| 0.2083        | 2.5882 | 2200 | 0.2084          | 0.1884 |
+| 0.2058        | 2.7059 | 2300 | 0.2085          | 0.1882 |
+| 0.2197        | 2.8235 | 2400 | 0.2062          | 0.1904 |
+| 0.2317        | 2.9412 | 2500 | 0.2065          | 0.1896 |
+
+
+### 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:e6909fa409e2dc46c9166abd4d528ef683244e6fd053d86894aca93c0344d424
+oid sha256:a1cacb4e66fe9a8470dc19a4d71f1e399c4b1719a455ac1295d533d244049336
 size 3858926792

runs/Jan03_02-08-45_srvrocgpu011.uct.ac.za/events.out.tfevents.1735863038.srvrocgpu011.uct.ac.za

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:13eac128cc4e18a35c0d27700c0d85d0d73d29c12305fc301ba810297d101530
-size 18920
+oid sha256:f85f55728cf765a9c70a0eecbbe7b0421cc6077115af1d973b77bf73c00ffe4b
+size 20121