Model save

README.md

@@ -1,5 +1,4 @@
 ---
-library_name: transformers
 license: apache-2.0
 base_model: facebook/wav2vec2-base
 tags:
@@ -16,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2_milDB
 
-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 [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9031
+- Loss: 2.6994
 - Wer: 1.0
 
 ## Model description
@@ -42,7 +41,7 @@ The following hyperparameters were used during training:
 - train_batch_size: 32
 - eval_batch_size: 8
 - seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - training_steps: 5000
@@ -52,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch   | Step | Validation Loss | Wer |
 |:-------------:|:-------:|:----:|:---------------:|:---:|
-| 1.9166        | 10.9890 | 1000 | 1.6068          | 1.0 |
-| 1.2813        | 21.9780 | 2000 | 1.6121          | 1.0 |
-| 1.8313        | 32.9670 | 3000 | 1.8892          | 1.0 |
-| 1.8958        | 43.9560 | 4000 | 1.8899          | 1.0 |
-| 1.897         | 54.9451 | 5000 | 1.9031          | 1.0 |
+| 2.0257        | 10.9890 | 1000 | 1.6873          | 1.0 |
+| 1.0671        | 21.9780 | 2000 | 1.6131          | 1.0 |
+| 2.4045        | 32.9670 | 3000 | 2.6980          | 1.0 |
+| 2.5542        | 43.9560 | 4000 | 2.7001          | 1.0 |
+| 2.5504        | 54.9451 | 5000 | 2.6994          | 1.0 |
 
 
 ### Framework versions
 
-- Transformers 4.49.0
-- Pytorch 2.4.1+cu124
-- Datasets 2.21.0
-- Tokenizers 0.21.0
+- Transformers 4.40.2
+- Pytorch 2.5.1+cu118
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

@@ -111,7 +111,7 @@
     1
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.49.0",
+  "transformers_version": "4.40.2",
   "use_weighted_layer_sum": false,
   "vocab_size": 50,
   "xvector_output_dim": 512

model.safetensors

@@ -1,3 +1,3 @@
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 size 377666496

runs/Oct20_10-50-29_cd-TIC-na-2/events.out.tfevents.1760946716.cd-TIC-na-2

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training_args.bin

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