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_240215-llama2_13b-240215
+  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_240215-llama2_13b-240215
+
+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: 0.7504
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.851         | 0.05  | 20   | 0.8541          |
+| 0.8377        | 0.11  | 40   | 0.8270          |
+| 0.795         | 0.16  | 60   | 0.8237          |
+| 0.7699        | 0.21  | 80   | 0.8089          |
+| 0.953         | 0.27  | 100  | 0.7974          |
+| 0.6894        | 0.32  | 120  | 0.7884          |
+| 0.8883        | 0.37  | 140  | 0.7836          |
+| 0.8814        | 0.42  | 160  | 0.7792          |
+| 0.8322        | 0.48  | 180  | 0.7668          |
+| 0.783         | 0.53  | 200  | 0.7745          |
+| 0.6963        | 0.58  | 220  | 0.7683          |
+| 0.7508        | 0.64  | 240  | 0.7540          |
+| 0.7326        | 0.69  | 260  | 0.7582          |
+| 0.7751        | 0.74  | 280  | 0.7501          |
+| 0.6995        | 0.8   | 300  | 0.7473          |
+| 0.7759        | 0.85  | 320  | 0.7428          |
+| 0.6506        | 0.9   | 340  | 0.7383          |
+| 0.7285        | 0.96  | 360  | 0.7296          |
+| 0.5833        | 1.01  | 380  | 0.7347          |
+| 0.5223        | 1.06  | 400  | 0.7535          |
+| 0.3866        | 1.12  | 420  | 0.7685          |
+| 0.4375        | 1.17  | 440  | 0.7586          |
+| 0.4582        | 1.22  | 460  | 0.7539          |
+| 0.4946        | 1.27  | 480  | 0.7646          |
+| 0.5255        | 1.33  | 500  | 0.7670          |
+| 0.4355        | 1.38  | 520  | 0.7581          |
+| 0.4287        | 1.43  | 540  | 0.7574          |
+| 0.478         | 1.49  | 560  | 0.7602          |
+| 0.4236        | 1.54  | 580  | 0.7590          |
+| 0.4873        | 1.59  | 600  | 0.7602          |
+| 0.5377        | 1.65  | 620  | 0.7582          |
+| 0.4546        | 1.7   | 640  | 0.7556          |
+| 0.444         | 1.75  | 660  | 0.7539          |
+| 0.3584        | 1.81  | 680  | 0.7526          |
+| 0.4446        | 1.86  | 700  | 0.7502          |
+| 0.385         | 1.91  | 720  | 0.7506          |
+| 0.5061        | 1.97  | 740  | 0.7504          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "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": [
+    "q_proj",
+    "gate_proj",
+    "k_proj",
+    "down_proj",
+    "v_proj",
+    "o_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

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