Training in progress, step 100

README.md

@@ -1,24 +1,24 @@
 ---
-base_model: facebook/wav2vec2-base
 license: apache-2.0
-metrics:
-- wer
+base_model: zainulhakim/240615-wav2vec2-ASR-English
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
-- name: 240615-wav2vec2-ASR-Chinese
+- name: 240624-wav2vec2-ASR-English
   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. -->
 
-# 240615-wav2vec2-ASR-Chinese
+# 240624-wav2vec2-ASR-English
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+This model is a fine-tuned version of [zainulhakim/240615-wav2vec2-ASR-English](https://huggingface.co/zainulhakim/240615-wav2vec2-ASR-English) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7811
-- Wer: 0.2254
+- Loss: 0.8851
+- Wer: 0.5584
 
 ## Model description
 
@@ -38,7 +38,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.0001
-- train_batch_size: 5
+- train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -51,15 +51,17 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer    |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 6.25  | 100  | 0.7811          | 0.2254 |
-| No log        | 12.5  | 200  | 1.3569          | 0.2448 |
-| No log        | 18.75 | 300  | 0.9215          | 0.2609 |
-| No log        | 25.0  | 400  | 0.7503          | 0.3108 |
+| No log        | 5.0   | 100  | 2.6338          | 1.0    |
+| No log        | 10.0  | 200  | 0.8716          | 0.9221 |
+| No log        | 15.0  | 300  | 0.8093          | 0.6753 |
+| No log        | 20.0  | 400  | 0.7692          | 0.6494 |
+| 1.766         | 25.0  | 500  | 1.0466          | 0.5714 |
+| 1.766         | 30.0  | 600  | 0.8851          | 0.5584 |
 
 
 ### Framework versions
 
 - Transformers 4.41.2
 - Pytorch 2.3.1+cu121
-- Datasets 2.20.0
+- Datasets 2.19.2
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:654204ab09df2d5c3dd905d911d42e01f2df4ecc96bb9ccf738f299200f3c5f2
 size 377611120

preprocessor_config.json

@@ -4,7 +4,6 @@
   "feature_size": 1,
   "padding_side": "right",
   "padding_value": 0.0,
-  "processor_class": "Wav2Vec2Processor",
   "return_attention_mask": false,
   "sampling_rate": 16000
 }

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:e219e2e39ef11ae56b165d9f0f2c276fa45c75c4f50525e6cf07ff3b44d8d4e6
 size 5112