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README.md

@@ -10,7 +10,7 @@ license: mit
 
 # Phi-2 Multi-Issue Transcript Analysis Model
 
-This model is fine-tuned from Microsoft's Phi-2 for analyzing customer service transcripts with multiple issues. It can:
+This model is based on Microsoft's Phi-2 for analyzing customer service transcripts with multiple issues. It can:
 
 1. Identify primary and secondary issues
 2. Analyze customer sentiment

added_tokens.json

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config.json

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+{
+  "architectures": [
+    "PhiForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.0,
+  "eos_token_id": 50256,
+  "hidden_act": "gelu_new",
+  "hidden_size": 2560,
+  "initializer_range": 0.02,
+  "intermediate_size": 10240,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "phi",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "partial_rotary_factor": 0.4,
+  "qk_layernorm": false,
+  "resid_pdrop": 0.1,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.52.4",
+  "use_cache": true,
+  "vocab_size": 51200
+}

generation_config.json

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+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.52.4"
+}

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special_tokens_map.json

@@ -0,0 +1,23 @@
+{
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+}

tokenizer_config.json

@@ -0,0 +1,325 @@
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