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DionysiusSidorius commited on
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7ea47a6
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1 Parent(s): 1df1483

Training in progress, epoch 1

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Files changed (11) hide show
  1. config.json +4 -7
  2. model.safetensors +2 -2
  3. runs/Apr09_17-24-56_9da2cce67241/events.out.tfevents.1744219514.9da2cce67241.287.0 +3 -0
  4. runs/Apr09_17-27-55_9da2cce67241/events.out.tfevents.1744219678.9da2cce67241.287.1 +3 -0
  5. runs/Apr09_17-28-21_9da2cce67241/events.out.tfevents.1744219704.9da2cce67241.287.2 +3 -0
  6. runs/Apr09_17-28-36_9da2cce67241/events.out.tfevents.1744219832.9da2cce67241.287.3 +3 -0
  7. runs/Apr09_17-28-36_9da2cce67241/events.out.tfevents.1744219926.9da2cce67241.287.4 +3 -0
  8. runs/Apr09_17-28-36_9da2cce67241/events.out.tfevents.1744220271.9da2cce67241.287.5 +3 -0
  9. runs/Apr09_17-28-36_9da2cce67241/events.out.tfevents.1744220340.9da2cce67241.287.6 +3 -0
  10. runs/Apr09_17-28-36_9da2cce67241/events.out.tfevents.1744220371.9da2cce67241.287.7 +3 -0
  11. training_args.bin +1 -1
config.json CHANGED
@@ -9,22 +9,19 @@
9
  "hidden_dropout_prob": 0.1,
10
  "hidden_size": 768,
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  "id2label": {
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- "0": "LABEL_0",
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- "1": "LABEL_1",
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- "2": "LABEL_2"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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- "LABEL_0": 0,
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- "LABEL_1": 1,
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- "LABEL_2": 2
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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  "model_type": "bert",
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
 
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  "pad_token_id": 0,
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  "pooler_fc_size": 768,
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  "pooler_num_attention_heads": 12,
@@ -32,7 +29,7 @@
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  "pooler_size_per_head": 128,
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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- "problem_type": "single_label_classification",
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  "torch_dtype": "float32",
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  "transformers_version": "4.50.3",
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  "type_vocab_size": 2,
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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+ "0": "LABEL_0"
 
 
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "LABEL_0": 0
 
 
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
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  "model_type": "bert",
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  "num_attention_heads": 12,
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  "num_hidden_layers": 12,
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+ "output_past": true,
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  "pad_token_id": 0,
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  "pooler_fc_size": 768,
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  "pooler_num_attention_heads": 12,
 
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  "pooler_size_per_head": 128,
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  "pooler_type": "first_token_transform",
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  "position_embedding_type": "absolute",
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+ "problem_type": "regression",
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  "torch_dtype": "float32",
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  "transformers_version": "4.50.3",
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  "type_vocab_size": 2,
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