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End of training

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  1. README.md +54 -0
  2. config.json +38 -0
  3. pytorch_model.bin +3 -0
  4. special_tokens_map.json +51 -0
  5. tokenizer_config.json +70 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: bsd-3-clause
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+ base_model: LongSafari/hyenadna-medium-160k-seqlen-hf
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: hyenadna-medium-160k-seqlen-hf_ft_BioS45_1kbpHG19_DHSs_H3K27AC_one_shot
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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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+ # hyenadna-medium-160k-seqlen-hf_ft_BioS45_1kbpHG19_DHSs_H3K27AC_one_shot
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+
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+ This model is a fine-tuned version of [LongSafari/hyenadna-medium-160k-seqlen-hf](https://huggingface.co/LongSafari/hyenadna-medium-160k-seqlen-hf) on the None dataset.
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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: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 20
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.0.dev0
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+ - Pytorch 2.4.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.20.0
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+ {
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+ "_name_or_path": "LongSafari/hyenadna-medium-160k-seqlen-hf",
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+ "activation_freq": 10,
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+ "architectures": [
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+ "HyenaDNAForSequenceClassification"
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+ ],
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+ "AutoModel": "LongSafari/hyenadna-medium-160k-seqlen-hf--modeling_hyena.HyenaDNAModel",
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+ "AutoModelForCausalLM": "LongSafari/hyenadna-medium-160k-seqlen-hf--modeling_hyena.HyenaDNAForCausalLM",
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+ "AutoModelForSequenceClassification": "LongSafari/hyenadna-medium-160k-seqlen-hf--modeling_hyena.HyenaDNAForSequenceClassification"
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+ },
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+ "embed_dropout": 0.1,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "max_seq_len": 160002,
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+ "model_type": "hyenadna",
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+ "n_layer": 8,
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+ "num_inner_mlps": 2,
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+ "pad_token_id": 4,
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+ "pad_vocab_size_multiple": 8,
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+ "problem_type": "single_label_classification",
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+ "tie_word_embeddings": false,
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+ "use_bias": true,
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+ "use_flash_attention": false,
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+ }
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