End of training

README.md

@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3249
+- Loss: 1.2938
 
 ## Model description
 
@@ -43,15 +43,18 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
-- num_epochs: 3
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.3503        | 1.0   | 90   | 1.3513          |
-| 1.2592        | 2.0   | 180  | 1.3265          |
-| 1.306         | 3.0   | 270  | 1.3249          |
+| 1.3462        | 1.0   | 90   | 1.3466          |
+| 1.2444        | 2.0   | 180  | 1.3130          |
+| 1.2703        | 3.0   | 270  | 1.2982          |
+| 1.3261        | 4.0   | 360  | 1.2945          |
+| 1.2466        | 5.0   | 450  | 1.2937          |
+| 1.323         | 6.0   | 540  | 1.2938          |
 
 
 ### Framework versions

adapter_config.json

@@ -22,8 +22,8 @@
   "target_modules": [
     "q_proj",
     "k_proj",
-    "v_proj",
-    "o_proj"
+    "o_proj",
+    "v_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:72e82abcbbab9a2a7b918d85d29671ea2042611b8fed5782cbc9f52cda66a8f2
 size 109086672

tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 2048,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:ce72917cac1a7e28de7f2c7a30e212b5a675ada850552ed5a9f206fc48a91448
 size 5432