Upload modified model with logging

config.json

@@ -1,75 +1,41 @@
 {
   "_name_or_path": "./modified_model",
-  "_num_labels": 3,
-  "activation_dropout": 0.0,
-  "activation_function": "gelu",
-  "add_final_layer_norm": false,
   "architectures": [
-    "ModifiedBartForConditionalGenerationWithHook"
+    "ModifiedBertForSequenceClassificationWithHook"
   ],
-  "attention_dropout": 0.0,
+  "attention_probs_dropout_prob": 0.1,
   "auto_map": {
-    "AutoConfig": "configuring_modified.BartConfig",
-    "AutoModel": "modeling_modified.ModifiedBartForConditionalGenerationWithHook",
-    "AutoModelForSeq2SeqLM": "modeling_modified.ModifiedBartForConditionalGenerationWithHook"
+    "AutoConfig": "configuring_modified.BertConfig",
+    "AutoModel": "modeling_modified.ModifiedBertForSequenceClassificationWithHook",
+    "AutoModelForSequenceClassification": "modeling_modified.ModifiedBertForSequenceClassificationWithHook"
   },
-  "bos_token_id": 0,
-  "classif_dropout": 0.0,
-  "classifier_dropout": 0.0,
-  "d_model": 1024,
-  "decoder_attention_heads": 16,
-  "decoder_ffn_dim": 4096,
-  "decoder_layerdrop": 0.0,
-  "decoder_layers": 12,
-  "decoder_start_token_id": 2,
-  "dropout": 0.1,
-  "early_stopping": true,
-  "encoder_attention_heads": 16,
-  "encoder_ffn_dim": 4096,
-  "encoder_layerdrop": 0.0,
-  "encoder_layers": 12,
-  "eos_token_id": 2,
-  "force_bos_token_to_be_generated": true,
-  "forced_bos_token_id": 0,
-  "forced_eos_token_id": 2,
+  "classifier_dropout": null,
   "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
   "id2label": {
-    "0": "LABEL_0",
-    "1": "LABEL_1",
-    "2": "LABEL_2"
+    "0": "positive",
+    "1": "negative",
+    "2": "neutral"
   },
-  "init_std": 0.02,
-  "is_encoder_decoder": true,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
   "label2id": {
-    "LABEL_0": 0,
-    "LABEL_1": 1,
-    "LABEL_2": 2
+    "negative": 1,
+    "neutral": 2,
+    "positive": 0
   },
-  "length_penalty": 2.0,
-  "max_length": 142,
-  "max_position_embeddings": 1024,
-  "min_length": 56,
-  "model_type": "bart",
-  "no_repeat_ngram_size": 3,
-  "normalize_before": false,
-  "num_beams": 4,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
   "num_hidden_layers": 12,
-  "output_past": true,
-  "pad_token_id": 1,
-  "prefix": " ",
-  "scale_embedding": false,
-  "task_specific_params": {
-    "summarization": {
-      "early_stopping": true,
-      "length_penalty": 2.0,
-      "max_length": 142,
-      "min_length": 56,
-      "no_repeat_ngram_size": 3,
-      "num_beams": 4
-    }
-  },
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.44.2",
+  "transformers_version": "4.45.1",
+  "type_vocab_size": 2,
   "use_cache": true,
-  "vocab_size": 50264
+  "vocab_size": 30522
 }

configuring_modified.py

@@ -1 +1 @@
-from transformers import BartConfig
+from transformers import BertConfig

generation_config.json

@@ -12,5 +12,5 @@
   "no_repeat_ngram_size": 3,
   "num_beams": 4,
   "pad_token_id": 1,
-  "transformers_version": "4.44.2"
+  "transformers_version": "4.45.1"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ab761cb3d97ddaa8efd72d8ba9ea5f46773f43ee83377cf6f14178860e20faf
-size 1625422896
+oid sha256:44410d63084e27ab2793e34f98851f76035255851e7a46fcd36d19296845b815
+size 437961724

modeling_modified.py

@@ -1,9 +1,9 @@
-
 import sys
 import platform
 import subprocess
 import pkg_resources
 import json
+import traceback
 import os
 
 def get_os_info() -> dict:
@@ -38,7 +38,7 @@ def get_gpu_info() -> list:
     # Check for NVIDIA GPUs
     try:
         nvidia_smi_output = subprocess.check_output(["nvidia-smi", "--query-gpu=name,memory.total,driver_version", "--format=csv,noheader"]).decode("utf-8")
-        gpus = [line.strip().split(", ") for line in nvidia_smi_output.strip().split("\n")]
+        gpus = [line.strip().split(", ") for line in nvidia_smi_output.strip().split("\\n")]
         for gpu in gpus:
             gpu_info.append({"type": "NVIDIA", "name": gpu[0], "memory": gpu[1], "driver_version": gpu[2]})
     except Exception:
@@ -81,10 +81,9 @@ def get_env_info() -> dict:
         "relevant_env_variables": get_env_variables()
     }
     return env_info
+from transformers import BertForSequenceClassification
 
-from transformers import BartForConditionalGeneration
-
-class ModifiedBartForConditionalGenerationWithHook(BartForConditionalGeneration):
+class ModifiedBertForSequenceClassificationWithHook(BertForSequenceClassification):
     """Modified model class with logging and error handling."""
     def __init__(self, config):
         super().__init__(config)
@@ -103,7 +102,7 @@ class ModifiedBartForConditionalGenerationWithHook(BartForConditionalGeneration)
 
             return outputs
         except Exception as e:
-            print(f"An error occurred during the forward pass: {e}")
+            print(f"An error occurred during the forward pass: {traceback.format_exc()}")
             print("Environment info:")
             print(json.dumps(get_env_info(), indent=2))
             raise e  # Re-raise the exception
@@ -126,7 +125,7 @@ class ModifiedBartForConditionalGenerationWithHook(BartForConditionalGeneration)
 
             return outputs
         except Exception as e:
-            print(f"An error occurred during the generate method: {e}")
+            print(f"An error occurred during the generate method: {traceback.format_exc()}")
             print("Environment info:")
             print(json.dumps(get_env_info(), indent=2))
             raise e  # Re-raise the exception

special_tokens_map.json

@@ -1,15 +1,7 @@
 {
-  "bos_token": "<s>",
-  "cls_token": "<s>",
-  "eos_token": "</s>",
-  "mask_token": {
-    "content": "<mask>",
-    "lstrip": true,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "<pad>",
-  "sep_token": "</s>",
-  "unk_token": "<unk>"
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
 }

tokenizer_config.json

@@ -1,57 +1,57 @@
 {
-  "add_prefix_space": false,
   "added_tokens_decoder": {
     "0": {
-      "content": "<s>",
+      "content": "[PAD]",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "1": {
-      "content": "<pad>",
+    "100": {
+      "content": "[UNK]",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "2": {
-      "content": "</s>",
+    "101": {
+      "content": "[CLS]",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "3": {
-      "content": "<unk>",
+    "102": {
+      "content": "[SEP]",
       "lstrip": false,
-      "normalized": true,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     },
-    "50264": {
-      "content": "<mask>",
-      "lstrip": true,
-      "normalized": true,
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
-  "bos_token": "<s>",
   "clean_up_tokenization_spaces": true,
-  "cls_token": "<s>",
-  "eos_token": "</s>",
-  "errors": "replace",
-  "mask_token": "<mask>",
-  "model_max_length": 1000000000000000019884624838656,
-  "pad_token": "<pad>",
-  "sep_token": "</s>",
-  "tokenizer_class": "BartTokenizer",
-  "trim_offsets": true,
-  "unk_token": "<unk>"
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
 }