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README.md

@@ -1,72 +1,37 @@
 ---
-library_name: transformers
+language: en
 tags:
-- generated_from_trainer
-metrics:
-- accuracy
-- f1
-- precision
-- recall
-model-index:
-- name: bert-clf-biencoder-cross_entropy
-  results: []
+- bert
+- classification
+- pytorch
+pipeline_tag: text-classification
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
+# BiEncoder Classification Model
 
-# bert-clf-biencoder-cross_entropy
+This model is a BiEncoder architecture based on BERT for text pair classification.
 
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9480
-- Accuracy: 0.6634
-- F1: 0.6648
-- Precision: 0.6687
-- Recall: 0.6634
+## Model Details
+- Base Model: bert-base-uncased
+- Architecture: BiEncoder with BERT base
+- Number of classes: 4
 
-## Model description
+## Usage
 
-More information needed
+```python
+from transformers import AutoTokenizer
+import torch
 
-## Intended uses & limitations
+# Load tokenizer
+tokenizer = AutoTokenizer.from_pretrained("minoosh/bert-clf-biencoder-cross_entropy")
 
-More information needed
+# Load model weights
+state_dict = torch.load("pytorch_model.bin")
 
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 100
-- num_epochs: 7
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 1.1883        | 1.0   | 78   | 1.0551          | 0.6019   | 0.5890 | 0.5964    | 0.6019 |
-| 0.859         | 2.0   | 156  | 0.8377          | 0.6311   | 0.6231 | 0.6472    | 0.6311 |
-| 0.6539        | 3.0   | 234  | 0.7989          | 0.6634   | 0.6651 | 0.6677    | 0.6634 |
-| 0.5242        | 4.0   | 312  | 0.8181          | 0.6731   | 0.6717 | 0.6823    | 0.6731 |
-| 0.3728        | 5.0   | 390  | 0.8442          | 0.6861   | 0.6855 | 0.6889    | 0.6861 |
-| 0.2566        | 6.0   | 468  | 0.9040          | 0.6764   | 0.6769 | 0.6779    | 0.6764 |
-| 0.1959        | 7.0   | 546  | 0.9480          | 0.6634   | 0.6648 | 0.6687    | 0.6634 |
-
-
-### Framework versions
-
-- Transformers 4.45.1
-- Pytorch 2.4.0
-- Datasets 3.0.1
-- Tokenizers 0.20.0
+# Initialize model (you'll need the BiEncoderModel class)
+model = BiEncoderModel(
+    base_model=AutoModel.from_pretrained("bert-base-uncased"),
+    num_classes=4
+)
+model.load_state_dict(state_dict)
+```

config.json

@@ -0,0 +1 @@
+{"return_dict": true, "output_hidden_states": false, "output_attentions": false, "torchscript": false, "torch_dtype": null, "use_bfloat16": false, "tf_legacy_loss": false, "pruned_heads": {}, "tie_word_embeddings": true, "chunk_size_feed_forward": 0, "is_encoder_decoder": false, "is_decoder": false, "cross_attention_hidden_size": null, "add_cross_attention": false, "tie_encoder_decoder": false, "max_length": 20, "min_length": 0, "do_sample": false, "early_stopping": false, "num_beams": 1, "num_beam_groups": 1, "diversity_penalty": 0.0, "temperature": 1.0, "top_k": 50, "top_p": 1.0, "typical_p": 1.0, "repetition_penalty": 1.0, "length_penalty": 1.0, "no_repeat_ngram_size": 0, "encoder_no_repeat_ngram_size": 0, "bad_words_ids": null, "num_return_sequences": 1, "output_scores": false, "return_dict_in_generate": false, "forced_bos_token_id": null, "forced_eos_token_id": null, "remove_invalid_values": false, "exponential_decay_length_penalty": null, "suppress_tokens": null, "begin_suppress_tokens": null, "architectures": ["BertModel"], "finetuning_task": null, "id2label": {"0": "LABEL_0", "1": "LABEL_1"}, "label2id": {"LABEL_0": 0, "LABEL_1": 1}, "tokenizer_class": null, "prefix": null, "bos_token_id": null, "pad_token_id": 0, "eos_token_id": null, "sep_token_id": null, "decoder_start_token_id": null, "task_specific_params": null, "problem_type": null, "_name_or_path": "bert-base-uncased", "transformers_version": "4.45.1", "gradient_checkpointing": false, "model_type": "bert", "vocab_size": 30522, "hidden_size": 768, "num_hidden_layers": 12, "num_attention_heads": 12, "hidden_act": "gelu", "intermediate_size": 3072, "hidden_dropout_prob": 0.1, "attention_probs_dropout_prob": 0.1, "max_position_embeddings": 512, "type_vocab_size": 2, "initializer_range": 0.02, "layer_norm_eps": 1e-12, "position_embedding_type": "absolute", "use_cache": true, "classifier_dropout": null}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:095580febcab6e4e715a3384e985951a58280c985a8949451129b8675eae2c36
+size 438038894

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

@@ -0,0 +1,55 @@
+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}