End of training

README.md

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+---
+library_name: peft
+license: bsd-3-clause
+base_model: hugohrban/progen2-base
+tags:
+- generated_from_trainer
+model-index:
+- name: Progen2_Kinase_PhosphositeGen_dkz_traindata_250step
+  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. -->
+
+# Progen2_Kinase_PhosphositeGen_dkz_traindata_250step
+
+This model is a fine-tuned version of [hugohrban/progen2-base](https://huggingface.co/hugohrban/progen2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0437
+- Perplexity: 7.7194
+
+## 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 250
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Perplexity |
+|:-------------:|:------:|:----:|:---------------:|:----------:|
+| 9.8555        | 0.2793 | 100  | 2.1451          | 8.5432     |
+| 8.5245        | 0.5587 | 200  | 2.0437          | 7.7194     |
+
+
+### Framework versions
+
+- PEFT 0.13.2
+- Transformers 4.47.1
+- Pytorch 2.1.0.post301
+- Datasets 3.0.2
+- Tokenizers 0.21.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "hugohrban/progen2-base",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.15,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 128,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "qkv_proj",
+    "out_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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+{
+  "<|endoftext|>": 30
+}

merges.txt

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+#version: 0.2

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|pad|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer.json

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tokenizer_config.json

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+}

training_args.bin

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vocab.json

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