End of training
Browse files- README.md +5 -5
- all_results.json +19 -0
- egy_training_log.txt +2 -0
- eval_results.json +13 -0
- train_results.json +9 -0
- train_vs_val_loss.png +0 -0
- trainer_state.json +184 -0
README.md
CHANGED
@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
This model is a fine-tuned version of [riotu-lab/ArabianGPT-03B](https://huggingface.co/riotu-lab/ArabianGPT-03B) on an unknown dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 0.
|
22 |
-
- Bleu: 0.
|
23 |
-
- Rouge1: 0.
|
24 |
-
- Rouge2: 0.
|
25 |
-
- Rougel: 0.
|
26 |
|
27 |
## Model description
|
28 |
|
|
|
18 |
|
19 |
This model is a fine-tuned version of [riotu-lab/ArabianGPT-03B](https://huggingface.co/riotu-lab/ArabianGPT-03B) on an unknown dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 0.7603
|
22 |
+
- Bleu: 0.3632
|
23 |
+
- Rouge1: 0.6403
|
24 |
+
- Rouge2: 0.3829
|
25 |
+
- Rougel: 0.6368
|
26 |
|
27 |
## Model description
|
28 |
|
all_results.json
ADDED
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"eval_bleu": 0.3631689720024005,
|
4 |
+
"eval_loss": 0.7602559328079224,
|
5 |
+
"eval_rouge1": 0.6402930839888462,
|
6 |
+
"eval_rouge2": 0.3828942418456889,
|
7 |
+
"eval_rougeL": 0.6367647874361373,
|
8 |
+
"eval_runtime": 105.7511,
|
9 |
+
"eval_samples": 14209,
|
10 |
+
"eval_samples_per_second": 134.363,
|
11 |
+
"eval_steps_per_second": 16.804,
|
12 |
+
"perplexity": 2.1388235455702778,
|
13 |
+
"total_flos": 9.237135717983846e+16,
|
14 |
+
"train_loss": 0.40426278318054437,
|
15 |
+
"train_runtime": 12413.183,
|
16 |
+
"train_samples": 56836,
|
17 |
+
"train_samples_per_second": 91.574,
|
18 |
+
"train_steps_per_second": 11.448
|
19 |
+
}
|
egy_training_log.txt
CHANGED
@@ -154,3 +154,5 @@ INFO:root:Epoch 6.0: Train Loss = 0.2518, Eval Loss = 0.8583759069442749
|
|
154 |
INFO:absl:Using default tokenizer.
|
155 |
INFO:root:Epoch 7.0: Train Loss = 0.1991, Eval Loss = 0.9106101989746094
|
156 |
INFO:absl:Using default tokenizer.
|
|
|
|
|
|
154 |
INFO:absl:Using default tokenizer.
|
155 |
INFO:root:Epoch 7.0: Train Loss = 0.1991, Eval Loss = 0.9106101989746094
|
156 |
INFO:absl:Using default tokenizer.
|
157 |
+
INFO:__main__:*** Evaluate ***
|
158 |
+
INFO:absl:Using default tokenizer.
|
eval_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"eval_bleu": 0.3631689720024005,
|
4 |
+
"eval_loss": 0.7602559328079224,
|
5 |
+
"eval_rouge1": 0.6402930839888462,
|
6 |
+
"eval_rouge2": 0.3828942418456889,
|
7 |
+
"eval_rougeL": 0.6367647874361373,
|
8 |
+
"eval_runtime": 105.7511,
|
9 |
+
"eval_samples": 14209,
|
10 |
+
"eval_samples_per_second": 134.363,
|
11 |
+
"eval_steps_per_second": 16.804,
|
12 |
+
"perplexity": 2.1388235455702778
|
13 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 7.0,
|
3 |
+
"total_flos": 9.237135717983846e+16,
|
4 |
+
"train_loss": 0.40426278318054437,
|
5 |
+
"train_runtime": 12413.183,
|
6 |
+
"train_samples": 56836,
|
7 |
+
"train_samples_per_second": 91.574,
|
8 |
+
"train_steps_per_second": 11.448
|
9 |
+
}
|
train_vs_val_loss.png
ADDED
![]() |
trainer_state.json
ADDED
@@ -0,0 +1,184 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7602559328079224,
|
3 |
+
"best_model_checkpoint": "/home/iais_marenpielka/Bouthaina/res_nw_eg_03/checkpoint-14210",
|
4 |
+
"epoch": 7.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 49735,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.0,
|
13 |
+
"grad_norm": 2.4059462547302246,
|
14 |
+
"learning_rate": 4.766772598870057e-05,
|
15 |
+
"loss": 0.874,
|
16 |
+
"step": 7105
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 1.0,
|
20 |
+
"eval_bleu": 0.34333508777542915,
|
21 |
+
"eval_loss": 0.7882477641105652,
|
22 |
+
"eval_rouge1": 0.6159142183825631,
|
23 |
+
"eval_rouge2": 0.3508423646141942,
|
24 |
+
"eval_rougeL": 0.6121110717073233,
|
25 |
+
"eval_runtime": 132.93,
|
26 |
+
"eval_samples_per_second": 106.891,
|
27 |
+
"eval_steps_per_second": 13.368,
|
28 |
+
"step": 7105
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 2.0,
|
32 |
+
"grad_norm": 3.7706522941589355,
|
33 |
+
"learning_rate": 4.515889830508475e-05,
|
34 |
+
"loss": 0.5689,
|
35 |
+
"step": 14210
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 2.0,
|
39 |
+
"eval_bleu": 0.3631689720024005,
|
40 |
+
"eval_loss": 0.7602559328079224,
|
41 |
+
"eval_rouge1": 0.6402930839888462,
|
42 |
+
"eval_rouge2": 0.3828942418456889,
|
43 |
+
"eval_rougeL": 0.6367647874361373,
|
44 |
+
"eval_runtime": 219.0505,
|
45 |
+
"eval_samples_per_second": 64.866,
|
46 |
+
"eval_steps_per_second": 8.112,
|
47 |
+
"step": 14210
|
48 |
+
},
|
49 |
+
{
|
50 |
+
"epoch": 3.0,
|
51 |
+
"grad_norm": 2.4260447025299072,
|
52 |
+
"learning_rate": 4.265007062146893e-05,
|
53 |
+
"loss": 0.4369,
|
54 |
+
"step": 21315
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 3.0,
|
58 |
+
"eval_bleu": 0.36610303407947103,
|
59 |
+
"eval_loss": 0.7770611643791199,
|
60 |
+
"eval_rouge1": 0.6205180467810911,
|
61 |
+
"eval_rouge2": 0.28726786502140805,
|
62 |
+
"eval_rougeL": 0.6174286813730623,
|
63 |
+
"eval_runtime": 229.3738,
|
64 |
+
"eval_samples_per_second": 61.947,
|
65 |
+
"eval_steps_per_second": 7.747,
|
66 |
+
"step": 21315
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 4.0,
|
70 |
+
"grad_norm": 4.454061031341553,
|
71 |
+
"learning_rate": 4.014124293785311e-05,
|
72 |
+
"loss": 0.3314,
|
73 |
+
"step": 28420
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 4.0,
|
77 |
+
"eval_bleu": 0.365696341752005,
|
78 |
+
"eval_loss": 0.8175964951515198,
|
79 |
+
"eval_rouge1": 0.6468122957416143,
|
80 |
+
"eval_rouge2": 0.3918607021930349,
|
81 |
+
"eval_rougeL": 0.6436111807449674,
|
82 |
+
"eval_runtime": 229.5565,
|
83 |
+
"eval_samples_per_second": 61.898,
|
84 |
+
"eval_steps_per_second": 7.741,
|
85 |
+
"step": 28420
|
86 |
+
},
|
87 |
+
{
|
88 |
+
"epoch": 5.0,
|
89 |
+
"grad_norm": 2.0373406410217285,
|
90 |
+
"learning_rate": 3.763241525423729e-05,
|
91 |
+
"loss": 0.2518,
|
92 |
+
"step": 35525
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 5.0,
|
96 |
+
"eval_bleu": 0.3619747558826484,
|
97 |
+
"eval_loss": 0.8583759069442749,
|
98 |
+
"eval_rouge1": 0.6465870583022197,
|
99 |
+
"eval_rouge2": 0.3915693838544316,
|
100 |
+
"eval_rougeL": 0.6434157590310816,
|
101 |
+
"eval_runtime": 139.7631,
|
102 |
+
"eval_samples_per_second": 101.665,
|
103 |
+
"eval_steps_per_second": 12.714,
|
104 |
+
"step": 35525
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 6.0,
|
108 |
+
"grad_norm": 2.6252825260162354,
|
109 |
+
"learning_rate": 3.5123587570621466e-05,
|
110 |
+
"loss": 0.1991,
|
111 |
+
"step": 42630
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 6.0,
|
115 |
+
"eval_bleu": 0.3615834909766938,
|
116 |
+
"eval_loss": 0.9106101989746094,
|
117 |
+
"eval_rouge1": 0.6428131756085969,
|
118 |
+
"eval_rouge2": 0.38795383008457324,
|
119 |
+
"eval_rougeL": 0.6396112320774026,
|
120 |
+
"eval_runtime": 228.74,
|
121 |
+
"eval_samples_per_second": 62.119,
|
122 |
+
"eval_steps_per_second": 7.769,
|
123 |
+
"step": 42630
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 7.0,
|
127 |
+
"grad_norm": 1.9299352169036865,
|
128 |
+
"learning_rate": 3.261475988700565e-05,
|
129 |
+
"loss": 0.1678,
|
130 |
+
"step": 49735
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 7.0,
|
134 |
+
"eval_bleu": 0.3620025104118138,
|
135 |
+
"eval_loss": 0.9511250257492065,
|
136 |
+
"eval_rouge1": 0.6421476450933186,
|
137 |
+
"eval_rouge2": 0.38754079327242963,
|
138 |
+
"eval_rougeL": 0.6388356718753687,
|
139 |
+
"eval_runtime": 228.7592,
|
140 |
+
"eval_samples_per_second": 62.113,
|
141 |
+
"eval_steps_per_second": 7.768,
|
142 |
+
"step": 49735
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 7.0,
|
146 |
+
"step": 49735,
|
147 |
+
"total_flos": 9.237135717983846e+16,
|
148 |
+
"train_loss": 0.40426278318054437,
|
149 |
+
"train_runtime": 12413.183,
|
150 |
+
"train_samples_per_second": 91.574,
|
151 |
+
"train_steps_per_second": 11.448
|
152 |
+
}
|
153 |
+
],
|
154 |
+
"logging_steps": 500,
|
155 |
+
"max_steps": 142100,
|
156 |
+
"num_input_tokens_seen": 0,
|
157 |
+
"num_train_epochs": 20,
|
158 |
+
"save_steps": 500,
|
159 |
+
"stateful_callbacks": {
|
160 |
+
"EarlyStoppingCallback": {
|
161 |
+
"args": {
|
162 |
+
"early_stopping_patience": 5,
|
163 |
+
"early_stopping_threshold": 0.0
|
164 |
+
},
|
165 |
+
"attributes": {
|
166 |
+
"early_stopping_patience_counter": 0
|
167 |
+
}
|
168 |
+
},
|
169 |
+
"TrainerControl": {
|
170 |
+
"args": {
|
171 |
+
"should_epoch_stop": false,
|
172 |
+
"should_evaluate": false,
|
173 |
+
"should_log": false,
|
174 |
+
"should_save": true,
|
175 |
+
"should_training_stop": true
|
176 |
+
},
|
177 |
+
"attributes": {}
|
178 |
+
}
|
179 |
+
},
|
180 |
+
"total_flos": 9.237135717983846e+16,
|
181 |
+
"train_batch_size": 8,
|
182 |
+
"trial_name": null,
|
183 |
+
"trial_params": null
|
184 |
+
}
|