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dnabert_genomic

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vojtam/dnabert_human_enhancers_cohn

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  1. README.md +62 -0
  2. config.json +34 -0
  3. model.safetensors +3 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: zhihan1996/DNABERT-2-117M
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: dnabert_genomic
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # dnabert_genomic
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+
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+ This model is a fine-tuned version of [zhihan1996/DNABERT-2-117M](https://huggingface.co/zhihan1996/DNABERT-2-117M) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4892
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+ - Accuracy: 0.7601
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1.8621576331491283e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 261 | 0.4974 | 0.7563 |
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+ | 0.5156 | 2.0 | 522 | 0.4951 | 0.7515 |
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+ | 0.5156 | 3.0 | 783 | 0.4892 | 0.7601 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
config.json ADDED
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+ {
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+ "_name_or_path": "zhihan1996/DNABERT-2-117M",
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+ "alibi_starting_size": 512,
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.08705202524443822,
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+ "auto_map": {
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+ "AutoConfig": "zhihan1996/DNABERT-2-117M--configuration_bert.BertConfig",
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+ "AutoModel": "zhihan1996/DNABERT-2-117M--bert_layers.BertModel",
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+ "AutoModelForMaskedLM": "zhihan1996/DNABERT-2-117M--bert_layers.BertForMaskedLM",
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+ "AutoModelForSequenceClassification": "zhihan1996/DNABERT-2-117M--bert_layers.BertForSequenceClassification"
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+ },
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+ "classifier_dropout": 0.08705202524443822,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.08705202524443822,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.46.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 4096
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+ }
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