Model save

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: ProtNLA
+  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. -->
+
+# ProtNLA
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+
+## 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: 4e-05
+- train_batch_size: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 2000
+- num_epochs: 1
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.0.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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+{
+  "architectures": [
+    "EncoderDecoderModel"
+  ],
+  "decoder": {
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+    "add_cross_attention": true,
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+    "embedding_size": 768,
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+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
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+    "hidden_act": "silu",
+    "hidden_dropout_prob": 0.2,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
+    },
+    "initializer_range": 0.02,
+    "intermediate_size": 2048,
+    "is_decoder": true,
+    "is_encoder_decoder": false,
+    "label2id": {
+      "LABEL_0": 0,
+      "LABEL_1": 1
+    },
+    "layer_norm_eps": 1e-12,
+    "length_penalty": 1.0,
+    "max_length": 20,
+    "max_position_embeddings": 1536,
+    "min_length": 0,
+    "model_type": "roformer",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 8,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 6,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 2,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "rotary_value": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
+    "tie_encoder_decoder": false,
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+    "top_k": 50,
+    "top_p": 1.0,
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+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 16681
+  },
+  "decoder_start_token_id": 0,
+  "encoder": {
+    "_name_or_path": "khairi/ProtFormer",
+    "add_cross_attention": false,
+    "architectures": [
+      "RoFormerForMaskedLM"
+    ],
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "early_stopping": false,
+    "embedding_size": 768,
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+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": null,
+    "hidden_act": "silu",
+    "hidden_dropout_prob": 0.2,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "is_decoder": false,
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+    "max_length": 20,
+    "max_position_embeddings": 1536,
+    "min_length": 0,
+    "model_type": "roformer",
+    "no_repeat_ngram_size": 0,
+    "num_attention_heads": 6,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 6,
+    "num_return_sequences": 1,
+    "output_attentions": false,
+    "output_hidden_states": false,
+    "output_scores": false,
+    "pad_token_id": 2,
+    "prefix": null,
+    "problem_type": null,
+    "pruned_heads": {},
+    "remove_invalid_values": false,
+    "repetition_penalty": 1.0,
+    "return_dict": true,
+    "return_dict_in_generate": false,
+    "rotary_value": false,
+    "sep_token_id": null,
+    "suppress_tokens": null,
+    "task_specific_params": null,
+    "temperature": 1.0,
+    "tf_legacy_loss": false,
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+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
+    "torch_dtype": "float32",
+    "torchscript": false,
+    "type_vocab_size": 2,
+    "typical_p": 1.0,
+    "use_bfloat16": false,
+    "use_cache": true,
+    "vocab_size": 25005
+  },
+  "is_encoder_decoder": true,
+  "model_type": "encoder-decoder",
+  "pad_token_id": 2,
+  "torch_dtype": "float32",
+  "transformers_version": "4.39.2",
+  "vocab_size": 16681
+}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": 1,
+  "max_new_tokens": 20,
+  "num_return_sequences": 5,
+  "output_logits": true,
+  "output_scores": true,
+  "pad_token_id": 2,
+  "repetition_penalty": 1.3,
+  "transformers_version": "4.39.2"
+}

model.safetensors

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training_args.bin

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