Training in progress, step 500

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

config.json

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+{
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+    "XLMRobertaForSequenceClassification"
+  ],
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+  "auto_map": {
+    "AutoConfig": "configuration_xlm_roberta.XLMRobertaFlashConfig",
+    "AutoModel": "modeling_xlm_roberta.XLMRobertaModel",
+    "AutoModelForSequenceClassification": "modeling_xlm_roberta.XLMRobertaForSequenceClassification"
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+  "hidden_act": "gelu",
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+  "lora_alpha": 1,
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+  "lora_main_params_trainable": false,
+  "lora_rank": 4,
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+  "max_position_embeddings": 1026,
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "sentence_transformers": {
+    "activation_fn": "torch.nn.modules.activation.Sigmoid",
+    "version": "5.2.0"
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+  "transformers_version": "4.57.3",
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+  "type_vocab_size": 1,
+  "use_cache": false,
+  "use_flash_attn": true,
+  "vocab_size": 250002
+}

eval/CrossEncoderRerankingEvaluator_affiliation-val_results_@10.csv

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model.safetensors

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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+  "tokenizer_class": "XLMRobertaTokenizerFast",
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+}

training_args.bin

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