End of training

README.md

@@ -102,7 +102,7 @@ xformers_attention: null
 
 This model is a fine-tuned version of [unsloth/llama-3-8b-Instruct](https://huggingface.co/unsloth/llama-3-8b-Instruct) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4245
+- Loss: 0.4072
 
 ## Model description
 
@@ -125,11 +125,8 @@ The following hyperparameters were used during training:
 - train_batch_size: 1
 - eval_batch_size: 1
 - seed: 42
-- distributed_type: multi-GPU
-- num_devices: 2
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 8
-- total_eval_batch_size: 2
+- total_train_batch_size: 4
 - optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 10
@@ -140,10 +137,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 0.7345        | 0.0054 | 1    | 0.7382          |
-| 0.7996        | 0.0162 | 3    | 0.6860          |
-| 0.5525        | 0.0323 | 6    | 0.5270          |
-| 0.4857        | 0.0485 | 9    | 0.4245          |
+| 0.7399        | 0.0027 | 1    | 0.7382          |
+| 0.7714        | 0.0081 | 3    | 0.6934          |
+| 0.6919        | 0.0162 | 6    | 0.5570          |
+| 0.4553        | 0.0242 | 9    | 0.4072          |
 
 
 ### Framework versions

adapter_config.json

@@ -21,12 +21,12 @@
   "revision": null,
   "target_modules": [
     "down_proj",
+    "up_proj",
     "gate_proj",
     "k_proj",
-    "v_proj",
-    "o_proj",
     "q_proj",
-    "up_proj"
+    "v_proj",
+    "o_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.bin

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adapter_model.safetensors

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training_args.bin

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