hZzy commited on
Commit
ab5fbfb
1 Parent(s): 04e1e01

End of training

Browse files
Files changed (4) hide show
  1. README.md +16 -9
  2. all_results.json +14 -0
  3. config.json +1 -1
  4. eval_results.json +17 -0
README.md CHANGED
@@ -2,9 +2,16 @@
2
  license: apache-2.0
3
  base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
4
  tags:
 
 
5
  - trl
6
  - expo
7
  - generated_from_trainer
 
 
 
 
 
8
  model-index:
9
  - name: qwen2.5-0.5b-expo-DPO-ES-10
10
  results: []
@@ -16,18 +23,18 @@ should probably proofread and complete it, then remove this comment. -->
16
  [<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/zhiyuzha-university-of-florida/huggingface/runs/8420vo52)
17
  # qwen2.5-0.5b-expo-DPO-ES-10
18
 
19
- This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
- - Loss: 21.3539
22
- - Logps: -79.7115
23
- - Logits: -0.5475
24
- - Objective: 20.4532
25
- - Dpo Loss: 20.4532
26
- - Regularize: 20.4532
27
- - Ranking Simple: 0.5362
28
  - Ranking Idealized: 0.5212
29
  - Ranking Idealized Expo: 0.5212
30
- - Wo Beta: 6.6867
31
 
32
  ## Model description
33
 
 
2
  license: apache-2.0
3
  base_model: hZzy/qwen2.5-0.5b-sft-news-IFT
4
  tags:
5
+ - alignment-handbook
6
+ - ndcg
7
  - trl
8
  - expo
9
  - generated_from_trainer
10
+ - trl
11
+ - expo
12
+ - generated_from_trainer
13
+ datasets:
14
+ - hZzy/train_pairwise
15
  model-index:
16
  - name: qwen2.5-0.5b-expo-DPO-ES-10
17
  results: []
 
23
  [<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/zhiyuzha-university-of-florida/huggingface/runs/8420vo52)
24
  # qwen2.5-0.5b-expo-DPO-ES-10
25
 
26
+ This model is a fine-tuned version of [hZzy/qwen2.5-0.5b-sft-news-IFT](https://huggingface.co/hZzy/qwen2.5-0.5b-sft-news-IFT) on the hZzy/train_pairwise dataset.
27
  It achieves the following results on the evaluation set:
28
+ - Loss: 21.3506
29
+ - Logps: -80.2051
30
+ - Logits: -0.6148
31
+ - Objective: 20.5661
32
+ - Dpo Loss: 20.5661
33
+ - Regularize: 20.5661
34
+ - Ranking Simple: 0.5383
35
  - Ranking Idealized: 0.5212
36
  - Ranking Idealized Expo: 0.5212
37
+ - Wo Beta: 6.6513
38
 
39
  ## Model description
40
 
all_results.json CHANGED
@@ -1,5 +1,19 @@
1
  {
2
  "epoch": 2.2673594709494567,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
3
  "total_flos": 0.0,
4
  "train_loss": 7.659533626437187,
5
  "train_runtime": 21973.9049,
 
1
  {
2
  "epoch": 2.2673594709494567,
3
+ "eval_dpo_loss": 20.566144943237305,
4
+ "eval_logits": -0.6148493885993958,
5
+ "eval_logps": -80.20514678955078,
6
+ "eval_loss": 21.350601196289062,
7
+ "eval_objective": 20.566144943237305,
8
+ "eval_ranking_idealized": 0.5212215185165405,
9
+ "eval_ranking_idealized_expo": 0.5212215185165405,
10
+ "eval_ranking_simple": 0.5383023023605347,
11
+ "eval_regularize": 20.566144943237305,
12
+ "eval_runtime": 314.2807,
13
+ "eval_samples": 5790,
14
+ "eval_samples_per_second": 18.423,
15
+ "eval_steps_per_second": 1.537,
16
+ "eval_wo_beta": 6.651296138763428,
17
  "total_flos": 0.0,
18
  "train_loss": 7.659533626437187,
19
  "train_runtime": 21973.9049,
config.json CHANGED
@@ -23,7 +23,7 @@
23
  "tie_word_embeddings": true,
24
  "torch_dtype": "float32",
25
  "transformers_version": "4.42.0",
26
- "use_cache": false,
27
  "use_mrope": false,
28
  "use_sliding_window": false,
29
  "vocab_size": 151665
 
23
  "tie_word_embeddings": true,
24
  "torch_dtype": "float32",
25
  "transformers_version": "4.42.0",
26
+ "use_cache": true,
27
  "use_mrope": false,
28
  "use_sliding_window": false,
29
  "vocab_size": 151665
eval_results.json ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.2673594709494567,
3
+ "eval_dpo_loss": 20.566144943237305,
4
+ "eval_logits": -0.6148493885993958,
5
+ "eval_logps": -80.20514678955078,
6
+ "eval_loss": 21.350601196289062,
7
+ "eval_objective": 20.566144943237305,
8
+ "eval_ranking_idealized": 0.5212215185165405,
9
+ "eval_ranking_idealized_expo": 0.5212215185165405,
10
+ "eval_ranking_simple": 0.5383023023605347,
11
+ "eval_regularize": 20.566144943237305,
12
+ "eval_runtime": 314.2807,
13
+ "eval_samples": 5790,
14
+ "eval_samples_per_second": 18.423,
15
+ "eval_steps_per_second": 1.537,
16
+ "eval_wo_beta": 6.651296138763428
17
+ }