End of training

README.md

@@ -16,7 +16,7 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1395
+- Loss: 1.1441
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.0974        | 0.34  | 50   | 1.1428          |
-| 1.0626        | 0.68  | 100  | 1.1252          |
-| 1.0209        | 1.02  | 150  | 1.1207          |
-| 0.9509        | 1.36  | 200  | 1.1425          |
-| 0.9616        | 1.7   | 250  | 1.1395          |
+| 1.0987        | 0.34  | 50   | 1.1459          |
+| 1.0626        | 0.68  | 100  | 1.1254          |
+| 1.0187        | 1.02  | 150  | 1.1222          |
+| 0.9514        | 1.36  | 200  | 1.1442          |
+| 0.9601        | 1.7   | 250  | 1.1441          |
 
 
 ### Framework versions

adapter_config.json

@@ -19,13 +19,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "up_proj",
-    "v_proj",
     "o_proj",
     "gate_proj",
-    "q_proj",
     "down_proj",
-    "k_proj"
+    "v_proj",
+    "up_proj",
+    "k_proj",
+    "q_proj"
   ],
   "task_type": "CAUSAL_LM"
 }

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:288bd86ed40ba7e37231e4eb3fb103a40fbd9be5fe490075800aa4cdd6ef5801
+oid sha256:bd2840bd67d525a2c09e292d972e77a5a6589899b2fc492f52eef5738a9c7853
 size 335605144

all_results.json

@@ -1,11 +1,11 @@
 {
     "epoch": 2.0,
-    "eval_loss": 1.140608787536621,
-    "eval_runtime": 15.9495,
-    "eval_samples_per_second": 16.427,
-    "eval_steps_per_second": 4.138,
-    "train_loss": 1.01067645939029,
-    "train_runtime": 877.5897,
-    "train_samples_per_second": 5.369,
-    "train_steps_per_second": 0.335
+    "eval_loss": 1.1387102603912354,
+    "eval_runtime": 15.9562,
+    "eval_samples_per_second": 16.42,
+    "eval_steps_per_second": 4.136,
+    "train_loss": 1.0092324691564858,
+    "train_runtime": 861.2997,
+    "train_samples_per_second": 5.471,
+    "train_steps_per_second": 0.341
 }

eval_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 2.0,
-    "eval_loss": 1.140608787536621,
-    "eval_runtime": 15.9495,
-    "eval_samples_per_second": 16.427,
-    "eval_steps_per_second": 4.138
+    "eval_loss": 1.1387102603912354,
+    "eval_runtime": 15.9562,
+    "eval_samples_per_second": 16.42,
+    "eval_steps_per_second": 4.136
 }

metrics.json

@@ -1 +1 @@
-{"run_name": "./output", "train_runtime": 880.6703, "train_samples_per_second": 5.35, "train_steps_per_second": 0.334, "train_loss": 1.0087233514201885, "epoch": 2.0, "eval_loss": 1.140608787536621, "eval_runtime": 15.9495, "eval_samples_per_second": 16.427, "eval_steps_per_second": 4.138}
+{"run_name": "./output", "train_runtime": 877.5897, "train_samples_per_second": 5.369, "train_steps_per_second": 0.335, "train_loss": 1.01067645939029, "epoch": 2.0, "eval_loss": 1.1387102603912354, "eval_runtime": 15.9562, "eval_samples_per_second": 16.42, "eval_steps_per_second": 4.136}

train_results.json

@@ -1,7 +1,7 @@
 {
     "epoch": 2.0,
-    "train_loss": 1.01067645939029,
-    "train_runtime": 877.5897,
-    "train_samples_per_second": 5.369,
-    "train_steps_per_second": 0.335
+    "train_loss": 1.0092324691564858,
+    "train_runtime": 861.2997,
+    "train_samples_per_second": 5.471,
+    "train_steps_per_second": 0.341
 }

trainer_state.json

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   "num_input_tokens_seen": 0,
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training_args.bin

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-oid sha256:59b7f838de5b7aa39016607bd8e014d82ce38acfa14af4bb34028d36a9f5c6f3
+oid sha256:e38ee0104348f16cd8581d5da845dd506c0c7164174b7e748c0d6c3791505050
 size 6712