Training in progress, step 500

.gitignore

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added_tokens.json

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+}

config.json

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+  "_name_or_path": "microsoft/deberta-v3-xsmall",
+  "architectures": [
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+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 6,
+  "num_hidden_layers": 12,
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+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
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+  "pos_att_type": [
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+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.30.0",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

pytorch_model.bin

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runs/Oct08_21-31-12_c40f4e962aca/events.out.tfevents.1696800761.c40f4e962aca.6992.0

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special_tokens_map.json

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+  "cls_token": "[CLS]",
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+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
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spm.model

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tokenizer_config.json

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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
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+  "pad_token": "[PAD]",
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+  "split_by_punct": false,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}

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