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: 0.6880
-- Rewards/chosen: -0.2843
-- Rewards/rejected: -0.4655
-- Rewards/accuracies: 0.5835
-- Rewards/margins: 0.1811
-- Logps/rejected: -38.0338
-- Logps/chosen: -34.3505
-- Logits/rejected: -2.1374
-- Logits/chosen: -2.1422
+- Loss: 0.4937
+- Rewards/chosen: 0.2548
+- Rewards/rejected: 0.2285
+- Rewards/accuracies: 0.5274
+- Rewards/margins: 0.0263
+- Logps/rejected: -37.2627
+- Logps/chosen: -33.7514
+- Logits/rejected: -2.2263
+- Logits/chosen: -2.2311
 
 ## 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 |
-|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
-| 0.6464        | 0.26  | 100  | -2.2340       | -2.2291         | -34.0405     | -37.5500       | 0.6903          | 0.5685             | -0.0054        | 0.0246          | -0.0300          |
-| 0.5931        | 0.52  | 200  | -2.2316       | -2.2267         | -34.0730     | -37.5769       | 0.6980          | 0.5158             | -0.0346        | 0.0196          | -0.0543          |
-| 0.5301        | 0.78  | 300  | -2.2292       | -2.2243         | -34.0962     | -37.6000       | 0.6973          | 0.5390             | -0.0555        | 0.0195          | -0.0750          |
-| 0.389         | 1.04  | 400  | 0.6933        | -0.1201         | -0.1849      | 0.5507         | 0.0649          | -37.7221           | -34.1680       | -2.1983         | -2.2032          |
-| 0.322         | 1.3   | 500  | 0.7055        | -0.2815         | -0.3556      | 0.5515         | 0.0741          | -37.9118           | -34.3473       | -2.1969         | -2.2017          |
-| 0.327         | 1.56  | 600  | 0.6703        | -0.1443         | -0.2944      | 0.5806         | 0.1500          | -37.8437           | -34.1949       | -2.1819         | -2.1867          |
-| 0.3034        | 1.82  | 700  | 0.6868        | -0.1851         | -0.3175      | 0.5656         | 0.1323          | -37.8694           | -34.2402       | -2.1701         | -2.1749          |
-| 0.1649        | 2.08  | 800  | 0.6812        | -0.2229         | -0.3850      | 0.5951         | 0.1621          | -37.9443           | -34.2822       | -2.1594         | -2.1642          |
-| 0.1691        | 2.34  | 900  | 0.6881        | -0.2514         | -0.4183      | 0.5831         | 0.1669          | -37.9814           | -34.3138       | -2.1476         | -2.1524          |
-| 0.1953        | 2.6   | 1000 | 0.6957        | -0.2986         | -0.4680      | 0.5918         | 0.1694          | -38.0366           | -34.3663       | -2.1400         | -2.1447          |
-| 0.1463        | 2.86  | 1100 | 0.7010        | -0.3003         | -0.4559      | 0.5714         | 0.1555          | -38.0231           | -34.3682       | -2.1379         | -2.1427          |
-| 0.1796        | 3.12  | 1200 | 0.6908        | -0.2876         | -0.4581      | 0.5748         | 0.1705          | -38.0257           | -34.3541       | -2.1376         | -2.1423          |
-| 0.1264        | 3.38  | 1300 | 0.6911        | -0.2772         | -0.4526      | 0.5893         | 0.1755          | -38.0196           | -34.3425       | -2.1374         | -2.1422          |
-| 0.1206        | 3.64  | 1400 | 0.6924        | -0.2868         | -0.4582      | 0.5918         | 0.1714          | -38.0257           | -34.3532       | -2.1371         | -2.1419          |
-| 0.1645        | 3.9   | 1500 | 0.6943        | -0.2880         | -0.4573      | 0.5718         | 0.1693          | -38.0247           | -34.3545       | -2.1371         | -2.1419          |
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.4639        | 0.26  | 100  | 0.4939          | 0.1483         | 0.1205           | 0.5627             | 0.0278          | -37.3828       | -33.8698     | -2.2305         | -2.2354       |
+| 0.4308        | 0.52  | 200  | 0.4894          | 0.2606         | 0.2153           | 0.5544             | 0.0453          | -37.2774       | -33.7450     | -2.2290         | -2.2338       |
+| 0.374         | 0.78  | 300  | 0.4904          | 0.2570         | 0.2171           | 0.5220             | 0.0399          | -37.2754       | -33.7490     | -2.2259         | -2.2308       |
 
 
 ### 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

@@ -20,11 +20,11 @@
   "rank_pattern": {},
   "revision": null,
   "target_modules": [
+    "v_proj",
+    "down_proj",
     "gate_proj",
     "q_proj",
-    "v_proj",
     "k_proj",
-    "down_proj",
     "up_proj",
     "o_proj"
   ],

adapter_model.safetensors

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all_results.json

@@ -1,21 +1,21 @@
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-    "eval_logps/chosen": -34.35047149658203,
-    "eval_logps/rejected": -38.03379440307617,
-    "eval_loss": 0.6879659295082092,
-    "eval_rewards/accuracies": 0.5834717750549316,
-    "eval_rewards/chosen": -0.2843308448791504,
-    "eval_rewards/margins": 0.1811266541481018,
-    "eval_rewards/rejected": -0.4654575288295746,
-    "eval_runtime": 145.1525,
+    "epoch": 1.0,
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+    "eval_logits/rejected": -2.226254940032959,
+    "eval_logps/chosen": -33.75144958496094,
+    "eval_logps/rejected": -37.262733459472656,
+    "eval_loss": 0.49370110034942627,
+    "eval_rewards/accuracies": 0.5274086594581604,
+    "eval_rewards/chosen": 0.25479215383529663,
+    "eval_rewards/margins": 0.02629559487104416,
+    "eval_rewards/rejected": 0.22849655151367188,
+    "eval_runtime": 145.6018,
     "eval_samples": 343,
-    "eval_samples_per_second": 2.363,
-    "eval_steps_per_second": 0.296,
-    "train_loss": 0.19153660760297403,
-    "train_runtime": 10767.2812,
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+    "train_loss": 0.447351616079157,
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     "train_samples": 3079,
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-    "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

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-    "eval_logps/rejected": -38.03379440307617,
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-    "eval_rewards/accuracies": 0.5834717750549316,
-    "eval_rewards/chosen": -0.2843308448791504,
-    "eval_rewards/margins": 0.1811266541481018,
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 }

train_results.json

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     "train_samples": 3079,
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-    "train_steps_per_second": 0.143
+    "train_samples_per_second": 0.946,
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 }

training_args.bin

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