End of training

README.md

@@ -0,0 +1,74 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2-base
+  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. -->
+
+# wav2vec2-base
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4500
+- Wer: 0.2132
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 4
+- optimizer: Use adafactor and the args are:
+No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 6000
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 0.1825        | 4.4267  | 500  | 0.2557          | 0.2045 |
+| 0.1185        | 8.8533  | 1000 | 0.3017          | 0.2121 |
+| 0.0937        | 13.2756 | 1500 | 0.3172          | 0.2039 |
+| 0.0777        | 17.7022 | 2000 | 0.3681          | 0.2179 |
+| 0.059         | 22.1244 | 2500 | 0.4151          | 0.2232 |
+| 0.0673        | 26.5511 | 3000 | 0.4483          | 0.2138 |
+| 0.0479        | 30.9778 | 3500 | 0.4478          | 0.2168 |
+| 0.0463        | 35.4    | 4000 | 0.4102          | 0.2138 |
+| 0.0436        | 39.8267 | 4500 | 0.4533          | 0.2109 |
+| 0.0355        | 44.2489 | 5000 | 0.4166          | 0.2150 |
+| 0.0242        | 48.6756 | 5500 | 0.4591          | 0.2156 |
+| 0.0227        | 53.0978 | 6000 | 0.4500          | 0.2132 |
+
+
+### Framework versions
+
+- Transformers 4.55.1
+- Pytorch 2.8.0+cu129
+- Datasets 3.6.0
+- Tokenizers 0.21.4

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:21722a38aa2518746fc7afb1e128190d7b1f4580a4bf6a73ad73828ba3032af8
+oid sha256:c868b7d5a9b83d17ab00fac975bda9b9ba95a579dca049d32a223112f77f7072
 size 377611120

runs/Aug16_18-51-07_zjh/events.out.tfevents.1755341488.zjh.16432.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:200559e986e053d927452013d133b0b05b40703d1e4c45b0ff87b9524428fcc2
-size 21684
+oid sha256:49d3c0b81cba1b601b021eb659353389cc5c9de18160e6b393ce7c922e6074eb
+size 23411