new run

README.md

@@ -11,7 +11,7 @@ tags:
 - xlsr-fine-tuning-week
 license: apache-2
 model-index:
-- name: jimregan/wav2vec2-large-xlsr-irish-basic
+- name: XLSR Wav2Vec2 Irish by Jim O'Regan
   results:
   - task: 
       name: Speech Recognition
@@ -23,7 +23,7 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 49.3
+         value: 47.4
 ---
 # Wav2Vec2-Large-XLSR-Irish
 Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53)
@@ -110,4 +110,4 @@ def evaluate(batch):
 result = test_dataset.map(evaluate, batched=True, batch_size=8)
 print("WER: {:2f}".format(100 * wer.compute(predictions=result["pred_strings"], references=result["sentence"])))
 ```
-**Test Result**: 49.3 %
+**Test Result**: 47.4 %

config.json

@@ -70,7 +70,7 @@
   "num_conv_pos_embeddings": 128,
   "num_feat_extract_layers": 7,
   "num_hidden_layers": 24,
-  "pad_token_id": 34,
-  "transformers_version": "4.4.0",
-  "vocab_size": 35
+  "pad_token_id": 33,
+  "transformers_version": "4.5.0.dev0",
+  "vocab_size": 34
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 1262077335
+oid sha256:b6002694a80cefaf4959e86919ca4383a53b71fe91d88a76db249994e3fb1dec
+size 1262073239

training_args.bin

@@ -1,3 +1,3 @@
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-size 2287
+oid sha256:9256c4208cbdf8950b4af82e107d87aacce41cfe50b09097d7bacd898b1d9952
+size 2351

vocab.json

@@ -1 +1 @@
-{"í": 0, "ú": 1, "b": 2, "'": 3, "o": 4, "v": 5, "k": 6, "á": 7, "h": 8, "e": 9, "c": 10, "g": 11, "u": 12, "w": 13, "-": 14, "n": 15, "x": 16, "i": 17, "m": 18, "r": 19, "p": 20, "–": 21, "s": 23, "d": 24, "ó": 25, "j": 26, "é": 27, "a": 28, "y": 29, "l": 30, "t": 31, "f": 32, "|": 22, "[UNK]": 33, "[PAD]": 34}
+{"u": 0, "j": 1, "v": 3, "d": 4, "-": 5, "y": 6, "í": 7, "n": 8, "r": 9, "á": 10, "f": 11, "g": 12, "c": 13, "a": 14, "x": 15, "b": 16, "p": 17, "t": 18, "e": 19, "é": 20, "i": 21, "o": 22, "'": 23, "m": 24, "h": 25, "ú": 26, "w": 27, "ó": 28, "s": 29, "k": 30, "l": 31, "|": 2, "[UNK]": 32, "[PAD]": 33}