End of training

README.md

@@ -1,7 +1,8 @@
 ---
-base_model: meta-llama/Llama-2-7b-hf
+library_name: peft
 tags:
 - generated_from_trainer
+base_model: meta-llama/Llama-2-7b-hf
 model-index:
 - name: llama_test
   results: []
@@ -12,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama_test
 
-This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.0042
+- Loss: 3.0538
 
 ## Model description
 
@@ -33,25 +34,25 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 8
+- learning_rate: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
+- lr_scheduler_type: cosine
 - training_steps: 1000
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 2.9914        | 0.1   | 500  | 3.0161          |
-| 2.9937        | 0.2   | 1000 | 3.0042          |
+| 3.0546        | 0.05  | 1000 | 3.0538          |
 
 
 ### Framework versions
 
-- Transformers 4.34.1
-- Pytorch 1.12.1+cu113
-- Datasets 2.14.5
-- Tokenizers 0.14.1
+- PEFT 0.8.2
+- Transformers 4.38.1
+- Pytorch 2.2.0+cu118
+- Datasets 2.17.1
+- Tokenizers 0.15.2

adapter_config.json

@@ -0,0 +1,27 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "meta-llama/Llama-2-7b-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": 32,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 33571752

runs/Feb26_19-48-12_gpu-3/events.out.tfevents.1708976895.gpu-3.343680.0

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runs/Feb26_19-48-12_gpu-3/events.out.tfevents.1708977350.gpu-3.343680.1

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training_args.bin

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