wav2vec2-large-mms-1b-urmi-christian-nostress

README.md

@@ -0,0 +1,82 @@
+---
+license: cc-by-nc-4.0
+base_model: facebook/mms-1b-all
+tags:
+- generated_from_trainer
+datasets:
+- nena_speech_1_0_test
+metrics:
+- wer
+model-index:
+- name: wav2vec2-large-mms-1b-urmi-christian-nostress
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: nena_speech_1_0_test
+      type: nena_speech_1_0_test
+      config: urmi (christian)
+      split: test
+      args: urmi (christian)
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.944954128440367
+---
+
+<!-- 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. -->
+
+# wav2vec2-large-mms-1b-urmi-christian-nostress
+
+This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the nena_speech_1_0_test dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6617
+- Wer: 0.9450
+- Cer: 0.1846
+
+## 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: 0.001
+- train_batch_size: 32
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 14.5154       | 0.78  | 25   | 10.7711         | 1.0    | 0.9743 |
+| 7.3688        | 1.56  | 50   | 6.3951          | 1.0    | 0.9408 |
+| 3.895         | 2.34  | 75   | 2.4755          | 1.0    | 0.7579 |
+| 1.6699        | 3.12  | 100  | 0.8689          | 0.9725 | 0.2286 |
+| 1.1293        | 3.91  | 125  | 0.7194          | 0.9633 | 0.1981 |
+| 0.9637        | 4.69  | 150  | 0.6617          | 0.9450 | 0.1846 |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter.aii.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf4701fa1c7ef165250b34603aacf66ab04c81c7d6e60b68ec93d06ff4cb9ccf
+size 8839532

preprocessor_config.json

@@ -0,0 +1,9 @@
+{
+  "do_normalize": true,
+  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
+  "feature_size": 1,
+  "padding_side": "right",
+  "padding_value": 0.0,
+  "return_attention_mask": true,
+  "sampling_rate": 16000
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5244d1b3bd6dc3cf8086690ed2663ba1acf5f3d260b75ff87b1e7522849c89f8
+size 4600