Training in progress, step 100

config.json

@@ -1,6 +1,6 @@
 {
-  "_name_or_path": "facebook/wav2vec2-large-xlsr-53",
-  "activation_dropout": 0.0,
+  "_name_or_path": "m3hrdadfi/wav2vec2-large-xlsr-persian-v3",
+  "activation_dropout": 0.09216,
   "adapter_kernel_size": 3,
   "adapter_stride": 2,
   "add_adapter": false,
@@ -11,7 +11,7 @@
   "attention_dropout": 0.1,
   "bos_token_id": 1,
   "classifier_proj_size": 256,
-  "codevector_dim": 768,
+  "codevector_dim": 256,
   "contrastive_logits_temperature": 0.1,
   "conv_bias": true,
   "conv_dim": [
@@ -42,7 +42,7 @@
     2
   ],
   "ctc_loss_reduction": "mean",
-  "ctc_zero_infinity": false,
+  "ctc_zero_infinity": true,
   "diversity_loss_weight": 0.1,
   "do_stable_layer_norm": true,
   "eos_token_id": 2,
@@ -52,7 +52,6 @@
   "feat_proj_dropout": 0.0,
   "feat_quantizer_dropout": 0.0,
   "final_dropout": 0.0,
-  "gradient_checkpointing": false,
   "hidden_act": "gelu",
   "hidden_dropout": 0.1,
   "hidden_size": 1024,
@@ -85,8 +84,8 @@
   "num_hidden_layers": 24,
   "num_negatives": 100,
   "output_hidden_size": 1024,
-  "pad_token_id": 47,
-  "proj_codevector_dim": 768,
+  "pad_token_id": 0,
+  "proj_codevector_dim": 256,
   "tdnn_dilation": [
     1,
     2,
@@ -111,6 +110,6 @@
   "torch_dtype": "float32",
   "transformers_version": "4.15.0",
   "use_weighted_layer_sum": false,
-  "vocab_size": 50,
+  "vocab_size": 40,
   "xvector_output_dim": 512
 }

pytorch_model.bin

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runs/Jan21_07-31-02_8de2030b21f4/1642750290.6172373/events.out.tfevents.1642750290.8de2030b21f4.74.1

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training_args.bin

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