Training in progress, step 200

adapter_config.json

@@ -0,0 +1,36 @@
+{
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+  "auto_mapping": null,
+  "base_model_name_or_path": "roberta-base",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": "roberta\\.encoder\\.layer\\.11\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.10\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.11\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.10\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.9\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.11\\.output\\.dense|roberta\\.encoder\\.layer\\.8\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.10\\.output\\.dense|roberta\\.encoder\\.layer\\.6\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.7\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.9\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.5\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.9\\.output\\.dense|roberta\\.encoder\\.layer\\.3\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.2\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.8\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.4\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.8\\.output\\.dense|roberta\\.encoder\\.layer\\.7\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.6\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.5\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.2\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.1\\.attention\\.self\\.value|roberta\\.encoder\\.layer\\.11\\.attention\\.output\\.dense|roberta\\.encoder\\.layer\\.4\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.3\\.intermediate\\.dense|roberta\\.encoder\\.layer\\.7\\.output\\.dense|roberta\\.encoder\\.layer\\.10\\.attention\\.output\\.dense",
+  "task_type": "SEQ_CLS",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 4859088

special_tokens_map.json

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+{
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+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": false,
+      "normalized": true,
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+      "single_word": false,
+      "special": true
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+      "special": true
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+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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