Model save

README.md

@@ -13,20 +13,19 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sanqiang/wdpo/runs/dnn9mazg)
 # zephyr-7b-dpo-full
 
 This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5417
-- Rewards/chosen: -2.1562
-- Rewards/rejected: -2.8807
-- Rewards/accuracies: 0.7313
-- Rewards/margins: 0.7245
-- Logps/rejected: -438.7701
-- Logps/chosen: -359.8675
-- Logits/rejected: 0.5902
-- Logits/chosen: 0.3561
+- Loss: 0.0632
+- Rewards/chosen: -1.3406
+- Rewards/rejected: -2.3147
+- Rewards/accuracies: 0.7734
+- Rewards/margins: 0.9740
+- Logps/rejected: -488.8222
+- Logps/chosen: -391.1042
+- Logits/rejected: -2.0084
+- Logits/chosen: -2.0472
 
 ## Model description
 
@@ -48,7 +47,7 @@ The following hyperparameters were used during training:
 - learning_rate: 5e-07
 - train_batch_size: 8
 - eval_batch_size: 8
-- seed: 42
+- seed: 1
 - distributed_type: multi-GPU
 - num_devices: 8
 - gradient_accumulation_steps: 2
@@ -61,25 +60,17 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
-|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
-| 0.679         | 0.0796 | 100  | 0.6759          | -0.1436        | -0.1818          | 0.5998             | 0.0382          | -168.8750      | -158.6036    | -2.6862         | -2.6943       |
-| 0.5947        | 0.1592 | 200  | 0.6027          | -1.5133        | -2.0123          | 0.6679             | 0.4990          | -351.9330      | -295.5727    | -1.6083         | -1.6620       |
-| 0.578         | 0.2388 | 300  | 0.5751          | -1.2683        | -1.7143          | 0.6894             | 0.4460          | -322.1284      | -271.0768    | -1.3925         | -1.5128       |
-| 0.5575        | 0.3183 | 400  | 0.5613          | -1.7874        | -2.4481          | 0.7052             | 0.6607          | -395.5074      | -322.9848    | -0.2511         | -0.4263       |
-| 0.5311        | 0.3979 | 500  | 0.5601          | -2.0743        | -2.7782          | 0.7248             | 0.7039          | -428.5196      | -351.6741    | 0.1321          | -0.1444       |
-| 0.5658        | 0.4775 | 600  | 0.5562          | -1.9576        | -2.6629          | 0.7192             | 0.7053          | -416.9899      | -340.0069    | 0.9125          | 0.6661        |
-| 0.556         | 0.5571 | 700  | 0.5502          | -2.1146        | -2.7825          | 0.7201             | 0.6678          | -428.9443      | -355.7084    | 0.9969          | 0.7302        |
-| 0.5285        | 0.6367 | 800  | 0.5477          | -2.1980        | -2.9456          | 0.7229             | 0.7476          | -445.2567      | -364.0405    | 0.8564          | 0.6029        |
-| 0.5299        | 0.7163 | 900  | 0.5450          | -2.1121        | -2.8512          | 0.7341             | 0.7391          | -435.8159      | -355.4508    | 0.9832          | 0.7089        |
-| 0.5629        | 0.7959 | 1000 | 0.5440          | -2.1483        | -2.8941          | 0.7323             | 0.7457          | -440.1051      | -359.0749    | 0.7033          | 0.4600        |
-| 0.5351        | 0.8754 | 1100 | 0.5423          | -2.1496        | -2.8571          | 0.7304             | 0.7074          | -436.4062      | -359.2066    | 0.5029          | 0.2753        |
-| 0.5499        | 0.9550 | 1200 | 0.5417          | -2.1562        | -2.8807          | 0.7313             | 0.7245          | -438.7701      | -359.8675    | 0.5902          | 0.3561        |
+| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.0717        | 0.21  | 100  | 0.0733          | -0.5920        | -1.1062          | 0.7266             | 0.5142          | -367.9753      | -316.2405    | -2.7130         | -2.7290       |
+| 0.0672        | 0.42  | 200  | 0.0662          | -0.9311        | -1.7199          | 0.7422             | 0.7888          | -429.3445      | -350.1472    | -2.2044         | -2.2377       |
+| 0.0648        | 0.63  | 300  | 0.0643          | -1.2563        | -2.1377          | 0.7734             | 0.8814          | -471.1217      | -382.6705    | -2.0727         | -2.1098       |
+| 0.0636        | 0.84  | 400  | 0.0632          | -1.3406        | -2.3147          | 0.7734             | 0.9740          | -488.8222      | -391.1042    | -2.0084         | -2.0472       |
 
 
 ### Framework versions
 
-- Transformers 4.41.0.dev0
+- Transformers 4.35.2
 - Pytorch 2.1.2+cu121
 - Datasets 2.14.6
-- Tokenizers 0.19.1
+- Tokenizers 0.14.1

all_results.json

@@ -1,9 +1,8 @@
 {
-    "epoch": 0.9996020692399522,
-    "total_flos": 0.0,
-    "train_loss": 0.56636344817034,
-    "train_runtime": 10031.2749,
-    "train_samples": 160800,
-    "train_samples_per_second": 16.03,
-    "train_steps_per_second": 0.125
+    "epoch": 1.0,
+    "train_loss": 0.06801126423490596,
+    "train_runtime": 3957.1126,
+    "train_samples": 61134,
+    "train_samples_per_second": 15.449,
+    "train_steps_per_second": 0.121
 }

config.json

@@ -3,7 +3,6 @@
   "architectures": [
     "MistralForCausalLM"
   ],
-  "attention_dropout": 0.0,
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
@@ -20,7 +19,7 @@
   "sliding_window": 4096,
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.41.0.dev0",
+  "transformers_version": "4.35.2",
   "use_cache": false,
   "vocab_size": 32000
 }

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 1,
   "eos_token_id": 2,
-  "transformers_version": "4.41.0.dev0"
+  "transformers_version": "4.35.2"
 }

model-00001-of-00003.safetensors

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tokenizer.json

@@ -134,7 +134,6 @@
     "end_of_word_suffix": null,
     "fuse_unk": true,
     "byte_fallback": true,
-    "ignore_merges": false,
     "vocab": {
       "<unk>": 0,
       "<s>": 1,

tokenizer_config.json

@@ -1,6 +1,4 @@
 {
-  "add_bos_token": true,
-  "add_eos_token": false,
   "added_tokens_decoder": {
     "0": {
       "content": "<unk>",
@@ -36,6 +34,7 @@
   "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n'  + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
   "clean_up_tokenization_spaces": false,
   "eos_token": "</s>",
+  "legacy": true,
   "model_max_length": 2048,
   "pad_token": "</s>",
   "sp_model_kwargs": {},

train_results.json

@@ -1,9 +1,8 @@
 {
-    "epoch": 0.9996020692399522,
-    "total_flos": 0.0,
-    "train_loss": 0.56636344817034,
-    "train_runtime": 10031.2749,
-    "train_samples": 160800,
-    "train_samples_per_second": 16.03,
-    "train_steps_per_second": 0.125
+    "epoch": 1.0,
+    "train_loss": 0.06801126423490596,
+    "train_runtime": 3957.1126,
+    "train_samples": 61134,
+    "train_samples_per_second": 15.449,
+    "train_steps_per_second": 0.121
 }

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