vanherzog/Mixtral_Alpace_v2_NIKI

README.md

@@ -19,6 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 # Mixtral_Alpace_v2_NIKI
 
 This model is a fine-tuned version of [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1688
 
 ## Model description
 
@@ -38,7 +40,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2.5e-05
-- train_batch_size: 16
+- train_batch_size: 8
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -46,6 +48,42 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_steps: 0.03
 - training_steps: 300
 
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.3725        | 0.0606 | 10   | 1.3384          |
+| 1.339         | 0.1212 | 20   | 1.3260          |
+| 1.3448        | 0.1818 | 30   | 1.3121          |
+| 1.2777        | 0.2424 | 40   | 1.2984          |
+| 1.3067        | 0.3030 | 50   | 1.2853          |
+| 1.2674        | 0.3636 | 60   | 1.2723          |
+| 1.2842        | 0.4242 | 70   | 1.2610          |
+| 1.2835        | 0.4848 | 80   | 1.2505          |
+| 1.2688        | 0.5455 | 90   | 1.2406          |
+| 1.2892        | 0.6061 | 100  | 1.2315          |
+| 1.2565        | 0.6667 | 110  | 1.2236          |
+| 1.2145        | 0.7273 | 120  | 1.2163          |
+| 1.2297        | 0.7879 | 130  | 1.2101          |
+| 1.2406        | 0.8485 | 140  | 1.2042          |
+| 1.2146        | 0.9091 | 150  | 1.1986          |
+| 1.2386        | 0.9697 | 160  | 1.1940          |
+| 1.1929        | 1.0303 | 170  | 1.1899          |
+| 1.2036        | 1.0909 | 180  | 1.1869          |
+| 1.181         | 1.1515 | 190  | 1.1837          |
+| 1.201         | 1.2121 | 200  | 1.1812          |
+| 1.1965        | 1.2727 | 210  | 1.1786          |
+| 1.2084        | 1.3333 | 220  | 1.1765          |
+| 1.2097        | 1.3939 | 230  | 1.1746          |
+| 1.176         | 1.4545 | 240  | 1.1727          |
+| 1.1757        | 1.5152 | 250  | 1.1715          |
+| 1.1977        | 1.5758 | 260  | 1.1705          |
+| 1.1686        | 1.6364 | 270  | 1.1701          |
+| 1.1679        | 1.6970 | 280  | 1.1694          |
+| 1.1779        | 1.7576 | 290  | 1.1690          |
+| 1.179         | 1.8182 | 300  | 1.1688          |
+
+
 ### Framework versions
 
 - PEFT 0.10.0

adapter_config.json

@@ -20,14 +20,14 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "v_proj",
-    "k_proj",
-    "gate_proj",
     "down_proj",
-    "q_proj",
     "o_proj",
-    "lm_head",
-    "up_proj"
+    "gate_proj",
+    "v_proj",
+    "q_proj",
+    "k_proj",
+    "up_proj",
+    "lm_head"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

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runs/May03_07-59-08_ea25dfb4a21c/events.out.tfevents.1714723151.ea25dfb4a21c.1159.0

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runs/May03_08-00-26_ea25dfb4a21c/events.out.tfevents.1714723236.ea25dfb4a21c.1159.1

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training_args.bin

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