End of training

README.md

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+---
+base_model: meta-llama/Llama-2-13b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: radiopaedia-inst_240219-llama2_13b-240220
+  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. -->
+
+# radiopaedia-inst_240219-llama2_13b-240220
+
+This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7007
+
+## 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: 0.0003
+- train_batch_size: 8
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8308        | 0.05  | 20   | 0.7775          |
+| 0.767         | 0.11  | 40   | 0.7579          |
+| 0.7219        | 0.16  | 60   | 0.7441          |
+| 0.6127        | 0.21  | 80   | 0.7489          |
+| 0.6799        | 0.27  | 100  | 0.7415          |
+| 0.7201        | 0.32  | 120  | 0.7369          |
+| 0.7045        | 0.37  | 140  | 0.7298          |
+| 0.7259        | 0.42  | 160  | 0.7190          |
+| 0.8055        | 0.48  | 180  | 0.7158          |
+| 0.6834        | 0.53  | 200  | 0.7066          |
+| 0.7885        | 0.58  | 220  | 0.7111          |
+| 0.71          | 0.64  | 240  | 0.7003          |
+| 0.7124        | 0.69  | 260  | 0.7008          |
+| 0.6625        | 0.74  | 280  | 0.7052          |
+| 0.691         | 0.8   | 300  | 0.6925          |
+| 0.6148        | 0.85  | 320  | 0.6915          |
+| 0.6727        | 0.9   | 340  | 0.6821          |
+| 0.5608        | 0.96  | 360  | 0.6777          |
+| 0.5981        | 1.01  | 380  | 0.6786          |
+| 0.5295        | 1.06  | 400  | 0.7046          |
+| 0.4217        | 1.12  | 420  | 0.7027          |
+| 0.4026        | 1.17  | 440  | 0.7211          |
+| 0.4469        | 1.22  | 460  | 0.7030          |
+| 0.3774        | 1.27  | 480  | 0.7153          |
+| 0.5217        | 1.33  | 500  | 0.7175          |
+| 0.3966        | 1.38  | 520  | 0.6978          |
+| 0.4662        | 1.43  | 540  | 0.7010          |
+| 0.4038        | 1.49  | 560  | 0.6971          |
+| 0.4514        | 1.54  | 580  | 0.7009          |
+| 0.423         | 1.59  | 600  | 0.7069          |
+| 0.3961        | 1.65  | 620  | 0.7030          |
+| 0.3723        | 1.7   | 640  | 0.7008          |
+| 0.3745        | 1.75  | 660  | 0.7008          |
+| 0.4442        | 1.81  | 680  | 0.7087          |
+| 0.4094        | 1.86  | 700  | 0.7040          |
+| 0.3465        | 1.91  | 720  | 0.7015          |
+| 0.3751        | 1.97  | 740  | 0.7007          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

@@ -0,0 +1,32 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-13b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 2,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "o_proj",
+    "up_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

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