Training in progress, step 25

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "TheAIchemist13/hindi_beekeeping_wav2vec2-2",
+  "_name_or_path": "Harveenchadha/vakyansh-wav2vec2-hindi-him-4200",
   "activation_dropout": 0.1,
   "adapter_attn_dim": null,
   "adapter_kernel_size": 3,
@@ -10,7 +10,8 @@
     "Wav2Vec2ForCTC"
   ],
   "attention_dropout": 0.0,
-  "bos_token_id": 1,
+  "bos_token": "<s>",
+  "bos_token_id": 0,
   "classifier_proj_size": 256,
   "codevector_dim": 256,
   "contrastive_logits_temperature": 0.1,
@@ -45,10 +46,11 @@
   "ctc_loss_reduction": "mean",
   "ctc_zero_infinity": false,
   "diversity_loss_weight": 0.1,
+  "do_lower_case": false,
   "do_stable_layer_norm": false,
+  "eos_token": "</s>",
   "eos_token_id": 2,
   "feat_extract_activation": "gelu",
-  "feat_extract_dropout": 0.0,
   "feat_extract_norm": "group",
   "feat_proj_dropout": 0.0,
   "feat_quantizer_dropout": 0.0,
@@ -56,7 +58,6 @@
   "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout": 0.0,
-  "hidden_dropout_prob": 0.1,
   "hidden_size": 768,
   "initializer_range": 0.02,
   "intermediate_size": 3072,
@@ -79,7 +80,8 @@
   "num_hidden_layers": 12,
   "num_negatives": 100,
   "output_hidden_size": 768,
-  "pad_token_id": 0,
+  "pad_token": "[PAD]",
+  "pad_token_id": 1,
   "proj_codevector_dim": 256,
   "tdnn_dilation": [
     1,
@@ -104,7 +106,9 @@
   ],
   "torch_dtype": "float32",
   "transformers_version": "4.34.0",
+  "unk_token": "[UNK]",
   "use_weighted_layer_sum": false,
-  "vocab_size": 84,
+  "vocab_size": 67,
+  "word_delimiter_token": "|",
   "xvector_output_dim": 512
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
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-size 377818721
+oid sha256:274d21d357f9611536f9135a256d3cf02aab56caf901f0708029759f482869d3
+size 377766433

training_args.bin

@@ -1,3 +1,3 @@
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 size 4091