MHGanainy commited on
Commit
6a4c6a0
·
verified ·
1 Parent(s): 9e2c99d

MHGanainy/gpt2-xl-lora-ecthr-tf-idf-kmeans-imbalanced-uniform-cluster-8-id-8

Browse files
Files changed (5) hide show
  1. README.md +2 -0
  2. all_results.json +13 -0
  3. eval_results.json +8 -0
  4. train_results.json +8 -0
  5. trainer_state.json +154 -0
README.md CHANGED
@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
15
  # gpt2-xl-lora-ecthr-tf-idf-kmeans-imbalanced-uniform-cluster-8-id-8
16
 
17
  This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
 
 
18
 
19
  ## Model description
20
 
 
15
  # gpt2-xl-lora-ecthr-tf-idf-kmeans-imbalanced-uniform-cluster-8-id-8
16
 
17
  This model is a fine-tuned version of [openai-community/gpt2-xl](https://huggingface.co/openai-community/gpt2-xl) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 2.2193
20
 
21
  ## Model description
22
 
all_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 2.2192912101745605,
4
+ "eval_runtime": 15.6464,
5
+ "eval_samples_per_second": 22.369,
6
+ "eval_steps_per_second": 2.812,
7
+ "perplexity": 9.200807115702053,
8
+ "total_flos": 3.088310550528e+16,
9
+ "train_loss": 2.3357728562265074,
10
+ "train_runtime": 448.4214,
11
+ "train_samples_per_second": 7.562,
12
+ "train_steps_per_second": 3.782
13
+ }
eval_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_loss": 2.2192912101745605,
4
+ "eval_runtime": 15.6464,
5
+ "eval_samples_per_second": 22.369,
6
+ "eval_steps_per_second": 2.812,
7
+ "perplexity": 9.200807115702053
8
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 3.088310550528e+16,
4
+ "train_loss": 2.3357728562265074,
5
+ "train_runtime": 448.4214,
6
+ "train_samples_per_second": 7.562,
7
+ "train_steps_per_second": 3.782
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1696,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0589622641509434,
13
+ "grad_norm": 0.11502372473478317,
14
+ "learning_rate": 2.0000000000000003e-06,
15
+ "loss": 2.5402,
16
+ "step": 100
17
+ },
18
+ {
19
+ "epoch": 0.1179245283018868,
20
+ "grad_norm": 0.21899548172950745,
21
+ "learning_rate": 4.000000000000001e-06,
22
+ "loss": 2.5382,
23
+ "step": 200
24
+ },
25
+ {
26
+ "epoch": 0.17688679245283018,
27
+ "grad_norm": 0.2467164397239685,
28
+ "learning_rate": 6e-06,
29
+ "loss": 2.5015,
30
+ "step": 300
31
+ },
32
+ {
33
+ "epoch": 0.2358490566037736,
34
+ "grad_norm": 0.3598988354206085,
35
+ "learning_rate": 8.000000000000001e-06,
36
+ "loss": 2.4872,
37
+ "step": 400
38
+ },
39
+ {
40
+ "epoch": 0.294811320754717,
41
+ "grad_norm": 0.42844414710998535,
42
+ "learning_rate": 1e-05,
43
+ "loss": 2.4242,
44
+ "step": 500
45
+ },
46
+ {
47
+ "epoch": 0.35377358490566035,
48
+ "grad_norm": 0.5226746797561646,
49
+ "learning_rate": 1.2e-05,
50
+ "loss": 2.3893,
51
+ "step": 600
52
+ },
53
+ {
54
+ "epoch": 0.41273584905660377,
55
+ "grad_norm": 0.5295324325561523,
56
+ "learning_rate": 1.4e-05,
57
+ "loss": 2.3536,
58
+ "step": 700
59
+ },
60
+ {
61
+ "epoch": 0.4716981132075472,
62
+ "grad_norm": 0.5710903406143188,
63
+ "learning_rate": 1.6000000000000003e-05,
64
+ "loss": 2.323,
65
+ "step": 800
66
+ },
67
+ {
68
+ "epoch": 0.5306603773584906,
69
+ "grad_norm": 0.5894581079483032,
70
+ "learning_rate": 1.8e-05,
71
+ "loss": 2.2702,
72
+ "step": 900
73
+ },
74
+ {
75
+ "epoch": 0.589622641509434,
76
+ "grad_norm": 0.6792523860931396,
77
+ "learning_rate": 2e-05,
78
+ "loss": 2.2962,
79
+ "step": 1000
80
+ },
81
+ {
82
+ "epoch": 0.6485849056603774,
83
+ "grad_norm": 0.7023124694824219,
84
+ "learning_rate": 1.899846753957507e-05,
85
+ "loss": 2.2594,
86
+ "step": 1100
87
+ },
88
+ {
89
+ "epoch": 0.7075471698113207,
90
+ "grad_norm": 0.7881377339363098,
91
+ "learning_rate": 1.6194483612157232e-05,
92
+ "loss": 2.2429,
93
+ "step": 1200
94
+ },
95
+ {
96
+ "epoch": 0.7665094339622641,
97
+ "grad_norm": 0.7712042331695557,
98
+ "learning_rate": 1.2149704402110243e-05,
99
+ "loss": 2.2229,
100
+ "step": 1300
101
+ },
102
+ {
103
+ "epoch": 0.8254716981132075,
104
+ "grad_norm": 0.7452691793441772,
105
+ "learning_rate": 7.674325444256899e-06,
106
+ "loss": 2.2289,
107
+ "step": 1400
108
+ },
109
+ {
110
+ "epoch": 0.8844339622641509,
111
+ "grad_norm": 0.7722818851470947,
112
+ "learning_rate": 3.6647941983957647e-06,
113
+ "loss": 2.1969,
114
+ "step": 1500
115
+ },
116
+ {
117
+ "epoch": 0.9433962264150944,
118
+ "grad_norm": 0.858065128326416,
119
+ "learning_rate": 9.242458032904311e-07,
120
+ "loss": 2.2172,
121
+ "step": 1600
122
+ },
123
+ {
124
+ "epoch": 1.0,
125
+ "step": 1696,
126
+ "total_flos": 3.088310550528e+16,
127
+ "train_loss": 2.3357728562265074,
128
+ "train_runtime": 448.4214,
129
+ "train_samples_per_second": 7.562,
130
+ "train_steps_per_second": 3.782
131
+ }
132
+ ],
133
+ "logging_steps": 100,
134
+ "max_steps": 1696,
135
+ "num_input_tokens_seen": 0,
136
+ "num_train_epochs": 1,
137
+ "save_steps": 500,
138
+ "stateful_callbacks": {
139
+ "TrainerControl": {
140
+ "args": {
141
+ "should_epoch_stop": false,
142
+ "should_evaluate": false,
143
+ "should_log": false,
144
+ "should_save": true,
145
+ "should_training_stop": true
146
+ },
147
+ "attributes": {}
148
+ }
149
+ },
150
+ "total_flos": 3.088310550528e+16,
151
+ "train_batch_size": 2,
152
+ "trial_name": null,
153
+ "trial_params": null
154
+ }