End of training

.amlignore

@@ -0,0 +1,6 @@
+## This file was auto generated by the Azure Machine Learning Studio. Please do not remove. 
+## Read more about the .amlignore file here: https://docs.microsoft.com/azure/machine-learning/how-to-save-write-experiment-files#storage-limits-of-experiment-snapshots
+        
+.ipynb_aml_checkpoints/ 
+*.amltmp 
+*.amltemp

.amlignore.amltmp

@@ -0,0 +1,6 @@
+## This file was auto generated by the Azure Machine Learning Studio. Please do not remove. 
+## Read more about the .amlignore file here: https://docs.microsoft.com/azure/machine-learning/how-to-save-write-experiment-files#storage-limits-of-experiment-snapshots
+        
+.ipynb_aml_checkpoints/ 
+*.amltmp 
+*.amltemp

README.md

@@ -24,9 +24,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 0
-pipeline_tag: automatic-speech-recognition
-library_name: transformers
+      value: 0.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -68,18 +66,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Wer |
-|:-------------:|:------:|:----:|:---------------:|:---:|
-| 0.0           | 500.0  | 1000 | 0.0000          | 0.0 |
-| 0.0           | 1000.0 | 2000 | 0.0000          | 0.0 |
-| 0.0           | 1500.0 | 3000 | 0.0000          | 0.0 |
-| 0.0           | 2000.0 | 4000 | 0.0000          | 0.0 |
-| 0.0           | 2500.0 | 5000 | 0.0000          | 0.0 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 0.0           | 500.0  | 1000 | 0.0001          | 4.5455 |
+| 0.0           | 1000.0 | 2000 | 0.0000          | 4.5455 |
+| 0.0           | 1500.0 | 3000 | 0.0000          | 0.0    |
+| 0.0           | 2000.0 | 4000 | 0.0000          | 0.0    |
+| 0.0           | 2500.0 | 5000 | 0.0000          | 0.0    |
 
 
 ### Framework versions
 
-- Transformers 4.43.3
-- Pytorch 1.12.0
+- Transformers 4.43.4
+- Pytorch 2.3.1+cu121
 - Datasets 2.20.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1

config.json

@@ -145,7 +145,7 @@
     50362
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.43.3",
+  "transformers_version": "4.43.4",
   "use_cache": true,
   "use_weighted_layer_sum": false,
   "vocab_size": 51865

generation_config.json

@@ -150,7 +150,6 @@
     "<|yo|>": 50325,
     "<|zh|>": 50260
   },
-  "language": "english",
   "max_initial_timestamp_index": 50,
   "max_length": 448,
   "no_timestamps_token_id": 50363,
@@ -252,5 +251,5 @@
     "transcribe": 50359,
     "translate": 50358
   },
-  "transformers_version": "4.43.3"
+  "transformers_version": "4.43.4"
 }

model.safetensors

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+oid sha256:3b111903859843ddfe6cbc4ed88f317387166db785e30dc385374110018b44db
 size 966995080

runs/Aug05_15-00-55_bumblebeegpu/events.out.tfevents.1722870055.bumblebeegpu.3384.0

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+size 50807

training_args.bin

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-oid sha256:77825e8824609c113f708b9cf6dd0ad9ba7e7686b2250b03c1a149d305b17fc3
-size 4847
+oid sha256:396aa54394820c5e3c61610e4c7f97d4eea9707f47fcc07a59bae73ed499c19a
+size 5304