Training in progress, step 600

README.md

@@ -20,15 +20,15 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co/data/ap-gpt-j-6b-sft-qlora-04-08) on the hugodk-sch/aftonposten_title_prefs dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9279
-- Rewards/chosen: -0.1421
-- Rewards/rejected: -0.2171
-- Rewards/accuracies: 0.5748
-- Rewards/margins: 0.0750
-- Logps/rejected: -38.0594
-- Logps/chosen: -34.3898
-- Logits/rejected: -2.1358
-- Logits/chosen: -2.1406
+- Loss: 0.6931
+- Rewards/chosen: -0.0260
+- Rewards/rejected: -0.0334
+- Rewards/accuracies: 0.5071
+- Rewards/margins: 0.0074
+- Logps/rejected: -37.6001
+- Logps/chosen: -34.0996
+- Logits/rejected: -2.2227
+- Logits/chosen: -2.2275
 
 ## Model description
 
@@ -57,33 +57,21 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 4
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
-|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
-| 0.9521        | 0.26  | 100  | -2.2327       | -2.2279         | -34.0381     | -37.5401       | 0.9920          | 0.5361             | -0.0014        | 0.0080          | -0.0094          |
-| 0.8515        | 0.52  | 200  | -2.2274       | -2.2226         | -34.0451     | -37.5730       | 0.9817          | 0.5594             | -0.0042        | 0.0184          | -0.0226          |
-| 0.7473        | 0.78  | 300  | -2.2234       | -2.2186         | -34.0922     | -37.6165       | 0.9830          | 0.5390             | -0.0231        | 0.0169          | -0.0399          |
-| 0.5492        | 1.04  | 400  | 0.9600        | -0.0653         | -0.1052      | 0.5565         | 0.0399          | -37.7797           | -34.1978       | -2.1852         | -2.1901          |
-| 0.4504        | 1.3   | 500  | 0.9656        | -0.1403         | -0.1747      | 0.5685         | 0.0344          | -37.9533           | -34.3853       | -2.1770         | -2.1818          |
-| 0.4511        | 1.56  | 600  | 0.9338        | -0.0835         | -0.1505      | 0.5951         | 0.0670          | -37.8930           | -34.2433       | -2.1565         | -2.1613          |
-| 0.3805        | 1.82  | 700  | 0.9385        | -0.1061         | -0.1691      | 0.5511         | 0.0631          | -37.9394           | -34.2997       | -2.1442         | -2.1490          |
-| 0.2038        | 2.08  | 800  | 0.9334        | -0.1274         | -0.1969      | 0.5689         | 0.0695          | -38.0088           | -34.3529       | -2.1367         | -2.1415          |
-| 0.2332        | 2.34  | 900  | 0.9320        | -0.1353         | -0.2057      | 0.5718         | 0.0704          | -38.0309           | -34.3727       | -2.1352         | -2.1400          |
-| 0.28          | 2.6   | 1000 | 0.9271        | -0.1454         | -0.2223      | 0.5714         | 0.0769          | -38.0723           | -34.3980       | -2.1345         | -2.1393          |
-| 0.1953        | 2.86  | 1100 | 0.9399        | -0.1551         | -0.2188      | 0.5631         | 0.0637          | -38.0636           | -34.4223       | -2.1342         | -2.1390          |
-| 0.2936        | 3.12  | 1200 | 0.9311        | -0.1412         | -0.2138      | 0.5864         | 0.0725          | -38.0510           | -34.3876       | -2.1359         | -2.1407          |
-| 0.1526        | 3.38  | 1300 | 0.9307        | -0.1413         | -0.2150      | 0.5864         | 0.0737          | -38.0541           | -34.3877       | -2.1350         | -2.1398          |
-| 0.1121        | 3.64  | 1400 | 0.9250        | -0.1377         | -0.2153      | 0.6038         | 0.0776          | -38.0548           | -34.3788       | -2.1356         | -2.1404          |
-| 0.215         | 3.9   | 1500 | 0.9280        | -0.1384         | -0.2143      | 0.5806         | 0.0758          | -38.0523           | -34.3807       | -2.1358         | -2.1405          |
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6726        | 0.26  | 100  | 0.6903          | -0.0039        | -0.0143          | 0.5482             | 0.0105          | -37.5524       | -34.0442     | -2.2286         | -2.2334       |
+| 0.6419        | 0.52  | 200  | 0.6932          | -0.0126        | -0.0196          | 0.5042             | 0.0071          | -37.5657       | -34.0660     | -2.2261         | -2.2310       |
+| 0.5902        | 0.78  | 300  | 0.6926          | -0.0248        | -0.0328          | 0.4954             | 0.0080          | -37.5987       | -34.0966     | -2.2231         | -2.2279       |
 
 
 ### Framework versions
 
-- PEFT 0.10.0
-- Transformers 4.39.0.dev0
+- PEFT 0.8.2
+- Transformers 4.37.2
 - Pytorch 2.1.2+cu121
-- Datasets 2.14.6
+- Datasets 2.17.0
 - Tokenizers 0.15.1

adapter_config.json

@@ -20,13 +20,13 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
-    "k_proj",
     "o_proj",
-    "v_proj",
     "up_proj",
     "q_proj",
+    "gate_proj",
     "down_proj",
-    "gate_proj"
+    "v_proj",
+    "k_proj"
   ],
   "task_type": "CAUSAL_LM",
   "use_dora": false,

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1d0fa9fe38bf0a36e47145a69312452d9da6b70819ba3ecfd9754733dff76761
+oid sha256:1e7a21fcbd2827f352f3cf94a59b15b79ab640f6875119f764d0e0ed0d9120fe
 size 176183216

all_results.json

@@ -1,21 +1,21 @@
 {
-    "epoch": 4.0,
-    "eval_logits/chosen": -2.1405961513519287,
-    "eval_logits/rejected": -2.13584041595459,
-    "eval_logps/chosen": -34.389774322509766,
-    "eval_logps/rejected": -38.05939865112305,
-    "eval_loss": 0.9278836846351624,
-    "eval_rewards/accuracies": 0.5747508406639099,
-    "eval_rewards/chosen": -0.14208722114562988,
-    "eval_rewards/margins": 0.0750228762626648,
-    "eval_rewards/rejected": -0.21711009740829468,
-    "eval_runtime": 145.1138,
+    "epoch": 1.0,
+    "eval_logits/chosen": -2.2275288105010986,
+    "eval_logits/rejected": -2.2226884365081787,
+    "eval_logps/chosen": -34.09955978393555,
+    "eval_logps/rejected": -37.600067138671875,
+    "eval_loss": 0.693101167678833,
+    "eval_rewards/accuracies": 0.5070598125457764,
+    "eval_rewards/chosen": -0.026001954451203346,
+    "eval_rewards/margins": 0.007375751622021198,
+    "eval_rewards/rejected": -0.03337770700454712,
+    "eval_runtime": 145.5528,
     "eval_samples": 343,
-    "eval_samples_per_second": 2.364,
-    "eval_steps_per_second": 0.296,
-    "train_loss": 0.2625940967689861,
-    "train_runtime": 10748.6274,
+    "eval_samples_per_second": 2.357,
+    "eval_steps_per_second": 0.295,
+    "train_loss": 0.6506414413452148,
+    "train_runtime": 3254.0644,
     "train_samples": 3079,
-    "train_samples_per_second": 1.146,
-    "train_steps_per_second": 0.143
+    "train_samples_per_second": 0.946,
+    "train_steps_per_second": 0.118
 }

config.json

@@ -18,8 +18,6 @@
   "n_layer": 28,
   "n_positions": 2048,
   "quantization_config": {
-    "_load_in_4bit": true,
-    "_load_in_8bit": false,
     "bnb_4bit_compute_dtype": "float16",
     "bnb_4bit_quant_type": "nf4",
     "bnb_4bit_use_double_quant": false,
@@ -47,7 +45,7 @@
   },
   "tie_word_embeddings": false,
   "tokenizer_class": "GPT2Tokenizer",
-  "transformers_version": "4.39.0.dev0",
+  "transformers_version": "4.37.2",
   "use_cache": true,
   "vocab_size": 50400
 }

eval_results.json

@@ -1,16 +1,16 @@
 {
-    "epoch": 4.0,
-    "eval_logits/chosen": -2.1405961513519287,
-    "eval_logits/rejected": -2.13584041595459,
-    "eval_logps/chosen": -34.389774322509766,
-    "eval_logps/rejected": -38.05939865112305,
-    "eval_loss": 0.9278836846351624,
-    "eval_rewards/accuracies": 0.5747508406639099,
-    "eval_rewards/chosen": -0.14208722114562988,
-    "eval_rewards/margins": 0.0750228762626648,
-    "eval_rewards/rejected": -0.21711009740829468,
-    "eval_runtime": 145.1138,
+    "epoch": 1.0,
+    "eval_logits/chosen": -2.2275288105010986,
+    "eval_logits/rejected": -2.2226884365081787,
+    "eval_logps/chosen": -34.09955978393555,
+    "eval_logps/rejected": -37.600067138671875,
+    "eval_loss": 0.693101167678833,
+    "eval_rewards/accuracies": 0.5070598125457764,
+    "eval_rewards/chosen": -0.026001954451203346,
+    "eval_rewards/margins": 0.007375751622021198,
+    "eval_rewards/rejected": -0.03337770700454712,
+    "eval_runtime": 145.5528,
     "eval_samples": 343,
-    "eval_samples_per_second": 2.364,
-    "eval_steps_per_second": 0.296
+    "eval_samples_per_second": 2.357,
+    "eval_steps_per_second": 0.295
 }

train_results.json

@@ -1,8 +1,8 @@
 {
-    "epoch": 4.0,
-    "train_loss": 0.2625940967689861,
-    "train_runtime": 10748.6274,
+    "epoch": 1.0,
+    "train_loss": 0.6506414413452148,
+    "train_runtime": 3254.0644,
     "train_samples": 3079,
-    "train_samples_per_second": 1.146,
-    "train_steps_per_second": 0.143
+    "train_samples_per_second": 0.946,
+    "train_steps_per_second": 0.118
 }

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c5b701d7d845bc2558e4065820fdb6eb63d35a8aeb5ca845505877a84afc9d8d
+oid sha256:363f8936016c2a932863dbc23987c69cadd4a52770f6d9a386ff56314f74fcab
 size 5176