Ejafa commited on
Commit
59a0af6
1 Parent(s): 493a616

End of training

Browse files
README.md CHANGED
@@ -2,9 +2,15 @@
2
  license: mit
3
  base_model: microsoft/Phi-3-mini-128k-instruct
4
  tags:
 
5
  - trl
6
  - dpo
7
  - generated_from_trainer
 
 
 
 
 
8
  model-index:
9
  - name: phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5
10
  results: []
@@ -15,17 +21,17 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5
17
 
18
- This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 1.6236
21
- - Rewards/chosen: -2.2390
22
- - Rewards/rejected: -2.6457
23
- - Rewards/accuracies: 0.6210
24
- - Rewards/margins: 0.4067
25
- - Logps/rejected: -1.0583
26
- - Logps/chosen: -0.8956
27
- - Logits/rejected: 2.0190
28
- - Logits/chosen: 2.0146
29
 
30
  ## Model description
31
 
 
2
  license: mit
3
  base_model: microsoft/Phi-3-mini-128k-instruct
4
  tags:
5
+ - alignment-handbook
6
  - trl
7
  - dpo
8
  - generated_from_trainer
9
+ - trl
10
+ - dpo
11
+ - generated_from_trainer
12
+ datasets:
13
+ - princeton-nlp/llama3-ultrafeedback
14
  model-index:
15
  - name: phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5
16
  results: []
 
21
 
22
  # phi-3-mini-128k-instruct-simpo-lr-5e-07-gamma-1.5
23
 
24
+ This model is a fine-tuned version of [microsoft/Phi-3-mini-128k-instruct](https://huggingface.co/microsoft/Phi-3-mini-128k-instruct) on the princeton-nlp/llama3-ultrafeedback dataset.
25
  It achieves the following results on the evaluation set:
26
+ - Loss: 1.6226
27
+ - Rewards/chosen: -2.2430
28
+ - Rewards/rejected: -2.6527
29
+ - Rewards/accuracies: 0.625
30
+ - Rewards/margins: 0.4097
31
+ - Logps/rejected: -1.0611
32
+ - Logps/chosen: -0.8972
33
+ - Logits/rejected: 2.0148
34
+ - Logits/chosen: 2.0096
35
 
36
  ## Model description
37
 
all_results.json CHANGED
@@ -1,5 +1,18 @@
1
  {
2
  "epoch": 0.9981298423724285,
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  "total_flos": 0.0,
4
  "train_loss": 1.6566840494470372,
5
  "train_runtime": 5417.7619,
 
1
  {
2
  "epoch": 0.9981298423724285,
3
+ "eval_logits/chosen": 2.009596824645996,
4
+ "eval_logits/rejected": 2.014779806137085,
5
+ "eval_logps/chosen": -0.897185742855072,
6
+ "eval_logps/rejected": -1.061065435409546,
7
+ "eval_loss": 1.6225711107254028,
8
+ "eval_rewards/accuracies": 0.625,
9
+ "eval_rewards/chosen": -2.242964267730713,
10
+ "eval_rewards/margins": 0.40969952940940857,
11
+ "eval_rewards/rejected": -2.6526639461517334,
12
+ "eval_runtime": 44.5569,
13
+ "eval_samples": 1961,
14
+ "eval_samples_per_second": 44.011,
15
+ "eval_steps_per_second": 1.391,
16
  "total_flos": 0.0,
17
  "train_loss": 1.6566840494470372,
18
  "train_runtime": 5417.7619,
config.json CHANGED
@@ -135,6 +135,6 @@
135
  "tie_word_embeddings": false,
136
  "torch_dtype": "bfloat16",
137
  "transformers_version": "4.41.2",
138
- "use_cache": false,
139
  "vocab_size": 32064
140
  }
 
135
  "tie_word_embeddings": false,
136
  "torch_dtype": "bfloat16",
137
  "transformers_version": "4.41.2",
138
+ "use_cache": true,
139
  "vocab_size": 32064
140
  }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 0.9981298423724285,
3
+ "eval_logits/chosen": 2.009596824645996,
4
+ "eval_logits/rejected": 2.014779806137085,
5
+ "eval_logps/chosen": -0.897185742855072,
6
+ "eval_logps/rejected": -1.061065435409546,
7
+ "eval_loss": 1.6225711107254028,
8
+ "eval_rewards/accuracies": 0.625,
9
+ "eval_rewards/chosen": -2.242964267730713,
10
+ "eval_rewards/margins": 0.40969952940940857,
11
+ "eval_rewards/rejected": -2.6526639461517334,
12
+ "eval_runtime": 44.5569,
13
+ "eval_samples": 1961,
14
+ "eval_samples_per_second": 44.011,
15
+ "eval_steps_per_second": 1.391
16
+ }
runs/Jun21_16-34-46_131-186-38-174/events.out.tfevents.1718993931.131-186-38-174.27809.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fa7fe103ce3978031e1794e815d2016e43d9268de16e572ddca034b509080b1a
3
+ size 828