End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: GreatCaptainNemo/ProLLaMA
+metrics:
+- precision
+- recall
+- accuracy
+model-index:
+- name: prollama-7b-lora-8-remote-homology-filtered
+  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. -->
+
+# prollama-7b-lora-8-remote-homology-filtered
+
+This model is a fine-tuned version of [GreatCaptainNemo/ProLLaMA](https://huggingface.co/GreatCaptainNemo/ProLLaMA) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4261
+- Precision: 0.7980
+- Recall: 0.8159
+- F1-score: 0.8068
+- Accuracy: 0.8042
+
+## 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: 0.0002
+- train_batch_size: 24
+- eval_batch_size: 24
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1-score | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:--------:|:--------:|
+| 0.4947        | 1.0   | 5313  | 0.4742          | 0.7628    | 0.8081 | 0.7848   | 0.7779   |
+| 0.4607        | 2.0   | 10626 | 0.4563          | 0.8163    | 0.7291 | 0.7702   | 0.7820   |
+| 0.4377        | 3.0   | 15939 | 0.4466          | 0.8094    | 0.7627 | 0.7854   | 0.7910   |
+| 0.4164        | 4.0   | 21252 | 0.4280          | 0.7953    | 0.8151 | 0.8051   | 0.8021   |
+| 0.403         | 5.0   | 26565 | 0.4261          | 0.7980    | 0.8159 | 0.8068   | 0.8042   |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "GreatCaptainNemo/ProLLaMA",
+  "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": 8,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "SEQ_CLS",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 16827064

training_args.bin

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