Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bioformers/bioformer-16L
+tags:
+- generated_from_trainer
+model-index:
+- name: TAPT-V1-Bioformer-16L
+  results: []
+---
+
+<!-- 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. -->
+
+# TAPT-V1-Bioformer-16L
+
+This model is a fine-tuned version of [bioformers/bioformer-16L](https://huggingface.co/bioformers/bioformer-16L) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.1780
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 150  | 2.1502          |
+| No log        | 2.0   | 300  | 2.2378          |
+| No log        | 3.0   | 450  | 2.2884          |
+| 2.0021        | 4.0   | 600  | 2.2441          |
+| 2.0021        | 5.0   | 750  | 2.3274          |
+| 2.0021        | 6.0   | 900  | 2.3326          |
+| 1.6511        | 7.0   | 1050 | 2.4306          |
+| 1.6511        | 8.0   | 1200 | 2.2564          |
+| 1.6511        | 9.0   | 1350 | 2.3204          |
+| 1.4289        | 10.0  | 1500 | 2.1780          |
+
+
+### Framework versions
+
+- Transformers 4.48.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.2
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "bioformers/bioformer-16L",
+  "architectures": [
+    "BertForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 384,
+  "initializer_range": 0.02,
+  "intermediate_size": 1536,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 1024,
+  "model_type": "bert",
+  "num_attention_heads": 6,
+  "num_hidden_layers": 16,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.2",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 32768
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "pad_token_id": 0,
+  "transformers_version": "4.48.2"
+}

model.safetensors

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+size 166232944

training_args.bin

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