End of training

README.md

@@ -104,7 +104,7 @@ xformers_attention: true
 
 This model is a fine-tuned version of [echarlaix/tiny-random-PhiForCausalLM](https://huggingface.co/echarlaix/tiny-random-PhiForCausalLM) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.9019
+- Loss: 6.8986
 
 ## Model description
 
@@ -141,9 +141,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss |
 |:-------------:|:------:|:----:|:---------------:|
-| 6.9356        | 0.0471 | 1    | 6.9337          |
-| 6.7366        | 1.1765 | 25   | 6.9093          |
-| 6.9713        | 2.3529 | 50   | 6.9019          |
+| 6.9356        | 0.0471 | 1    | 6.9338          |
+| 6.7342        | 1.1765 | 25   | 6.9071          |
+| 6.9684        | 2.3529 | 50   | 6.8986          |
 
 
 ### Framework versions

adapter_config.json

@@ -20,11 +20,11 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "dense",
-    "fc2",
     "q_proj",
+    "dense",
     "v_proj",
     "k_proj",
+    "fc2",
     "fc1"
   ],
   "task_type": "CAUSAL_LM",

adapter_model.bin

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adapter_model.safetensors

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training_args.bin

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