Model save

README.md

@@ -0,0 +1,83 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-xls-r-1b
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: xls-r-1b-bemgen-combined-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. -->
+
+# xls-r-1b-bemgen-combined-model
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2509
+- Wer: 0.3923
+
+## 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: 3e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.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: 500
+- num_epochs: 30.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| No log        | 0.1784 | 100  | 3.4413          | 1.0003 |
+| No log        | 0.3568 | 200  | 2.9149          | 1.0    |
+| No log        | 0.5352 | 300  | 0.7768          | 0.9235 |
+| No log        | 0.7136 | 400  | 0.6057          | 0.9047 |
+| 5.3372        | 0.8921 | 500  | 0.4317          | 0.6720 |
+| 5.3372        | 1.0696 | 600  | 0.3997          | 0.6704 |
+| 5.3372        | 1.2480 | 700  | 0.3611          | 0.6405 |
+| 5.3372        | 1.4264 | 800  | 0.3441          | 0.5603 |
+| 5.3372        | 1.6048 | 900  | 0.2945          | 0.4914 |
+| 0.6459        | 1.7832 | 1000 | 0.3041          | 0.4924 |
+| 0.6459        | 1.9616 | 1100 | 0.2805          | 0.4681 |
+| 0.6459        | 2.1392 | 1200 | 0.2774          | 0.5108 |
+| 0.6459        | 2.3176 | 1300 | 0.2683          | 0.4254 |
+| 0.6459        | 2.4960 | 1400 | 0.2644          | 0.4382 |
+| 0.4599        | 2.6744 | 1500 | 0.2446          | 0.4142 |
+| 0.4599        | 2.8528 | 1600 | 0.2473          | 0.4118 |
+| 0.4599        | 3.0303 | 1700 | 0.2492          | 0.3961 |
+| 0.4599        | 3.2087 | 1800 | 0.2467          | 0.4070 |
+| 0.4599        | 3.3872 | 1900 | 0.2509          | 0.3923 |
+
+
+### 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 sha256:544eadea07c6be5b50c2c34a76f3f4d7b4da89007bc348cefd96ea33eda28042
+oid sha256:b2b2c6ae689bbc6d9f7d49bc94250d72fc674c264c09f2134de99123e9094b52
 size 3850249844