nlparabic commited on
Commit
9ece604
·
verified ·
1 Parent(s): 1f5e511

End of training

Browse files
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: 0.3947
22
- - Bleu: 0.4715
23
- - Rouge1: 0.7229
24
- - Rouge2: 0.4895
25
- - Rougel: 0.7189
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: 0.3767
22
+ - Bleu: 0.4279
23
+ - Rouge1: 0.6599
24
+ - Rouge2: 0.3971
25
+ - Rougel: 0.6585
26
 
27
  ## Model description
28
 
all_results.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "eval_bleu": 0.427914494660841,
4
+ "eval_loss": 0.3767148554325104,
5
+ "eval_rouge1": 0.6598531398910279,
6
+ "eval_rouge2": 0.3971047774692673,
7
+ "eval_rougeL": 0.6584832139558556,
8
+ "eval_runtime": 2.4117,
9
+ "eval_samples": 304,
10
+ "eval_samples_per_second": 126.05,
11
+ "eval_steps_per_second": 15.756,
12
+ "perplexity": 1.4574886551410782,
13
+ "total_flos": 2264172293259264.0,
14
+ "train_loss": 0.719257706910177,
15
+ "train_runtime": 2187.326,
16
+ "train_samples": 1219,
17
+ "train_samples_per_second": 11.146,
18
+ "train_steps_per_second": 1.399
19
+ }
egy_training_log.txt CHANGED
@@ -156,3 +156,5 @@ INFO:root:Epoch 7.0: Train Loss = 0.0999, Eval Loss = 0.39377203583717346
156
  INFO:absl:Using default tokenizer.
157
  INFO:root:Epoch 8.0: Train Loss = 0.0844, Eval Loss = 0.39711037278175354
158
  INFO:absl:Using default tokenizer.
 
 
 
156
  INFO:absl:Using default tokenizer.
157
  INFO:root:Epoch 8.0: Train Loss = 0.0844, Eval Loss = 0.39711037278175354
158
  INFO:absl:Using default tokenizer.
159
+ INFO:__main__:*** Evaluate ***
160
+ INFO:absl:Using default tokenizer.
eval_results.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "eval_bleu": 0.427914494660841,
4
+ "eval_loss": 0.3767148554325104,
5
+ "eval_rouge1": 0.6598531398910279,
6
+ "eval_rouge2": 0.3971047774692673,
7
+ "eval_rougeL": 0.6584832139558556,
8
+ "eval_runtime": 2.4117,
9
+ "eval_samples": 304,
10
+ "eval_samples_per_second": 126.05,
11
+ "eval_steps_per_second": 15.756,
12
+ "perplexity": 1.4574886551410782
13
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 8.0,
3
+ "total_flos": 2264172293259264.0,
4
+ "train_loss": 0.719257706910177,
5
+ "train_runtime": 2187.326,
6
+ "train_samples": 1219,
7
+ "train_samples_per_second": 11.146,
8
+ "train_steps_per_second": 1.399
9
+ }
train_vs_val_loss.png ADDED
trainer_state.json ADDED
@@ -0,0 +1,203 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.3767148554325104,
3
+ "best_model_checkpoint": "/home/iais_marenpielka/Bouthaina/res_nw_yem_03/checkpoint-459",
4
+ "epoch": 8.0,
5
+ "eval_steps": 500,
6
+ "global_step": 1224,
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": 5.96675968170166,
14
+ "learning_rate": 1.53e-05,
15
+ "loss": 4.4383,
16
+ "step": 153
17
+ },
18
+ {
19
+ "epoch": 1.0,
20
+ "eval_bleu": 0.015528584651533126,
21
+ "eval_loss": 0.7436053156852722,
22
+ "eval_rouge1": 0.46982391145733055,
23
+ "eval_rouge2": 0.19207986874781602,
24
+ "eval_rougeL": 0.46930459291115545,
25
+ "eval_runtime": 2.3655,
26
+ "eval_samples_per_second": 128.516,
27
+ "eval_steps_per_second": 16.064,
28
+ "step": 153
29
+ },
30
+ {
31
+ "epoch": 2.0,
32
+ "grad_norm": 3.5768725872039795,
33
+ "learning_rate": 3.06e-05,
34
+ "loss": 0.4733,
35
+ "step": 306
36
+ },
37
+ {
38
+ "epoch": 2.0,
39
+ "eval_bleu": 0.39670936867008716,
40
+ "eval_loss": 0.39333394169807434,
41
+ "eval_rouge1": 0.5938039437844622,
42
+ "eval_rouge2": 0.3153907013759276,
43
+ "eval_rougeL": 0.5909085576639257,
44
+ "eval_runtime": 9.4412,
45
+ "eval_samples_per_second": 32.199,
46
+ "eval_steps_per_second": 4.025,
47
+ "step": 306
48
+ },
49
+ {
50
+ "epoch": 3.0,
51
+ "grad_norm": 3.4199442863464355,
52
+ "learning_rate": 4.5900000000000004e-05,
53
+ "loss": 0.2714,
54
+ "step": 459
55
+ },
56
+ {
57
+ "epoch": 3.0,
58
+ "eval_bleu": 0.427914494660841,
59
+ "eval_loss": 0.3767148554325104,
60
+ "eval_rouge1": 0.6598531398910279,
61
+ "eval_rouge2": 0.3971047774692673,
62
+ "eval_rougeL": 0.6584832139558556,
63
+ "eval_runtime": 9.4581,
64
+ "eval_samples_per_second": 32.142,
65
+ "eval_steps_per_second": 4.018,
66
+ "step": 459
67
+ },
68
+ {
69
+ "epoch": 4.0,
70
+ "grad_norm": 2.4085845947265625,
71
+ "learning_rate": 4.7812500000000003e-05,
72
+ "loss": 0.1837,
73
+ "step": 612
74
+ },
75
+ {
76
+ "epoch": 4.0,
77
+ "eval_bleu": 0.43801708242621135,
78
+ "eval_loss": 0.3863435983657837,
79
+ "eval_rouge1": 0.6761692862282009,
80
+ "eval_rouge2": 0.41837300418726475,
81
+ "eval_rougeL": 0.6725637079403999,
82
+ "eval_runtime": 127.7574,
83
+ "eval_samples_per_second": 2.38,
84
+ "eval_steps_per_second": 0.297,
85
+ "step": 612
86
+ },
87
+ {
88
+ "epoch": 5.0,
89
+ "grad_norm": 0.990710973739624,
90
+ "learning_rate": 4.482421875e-05,
91
+ "loss": 0.129,
92
+ "step": 765
93
+ },
94
+ {
95
+ "epoch": 5.0,
96
+ "eval_bleu": 0.4536061292967932,
97
+ "eval_loss": 0.38353848457336426,
98
+ "eval_rouge1": 0.6993772519271104,
99
+ "eval_rouge2": 0.4575839398398158,
100
+ "eval_rougeL": 0.6967680711913622,
101
+ "eval_runtime": 4.8885,
102
+ "eval_samples_per_second": 62.186,
103
+ "eval_steps_per_second": 7.773,
104
+ "step": 765
105
+ },
106
+ {
107
+ "epoch": 6.0,
108
+ "grad_norm": 0.9595922827720642,
109
+ "learning_rate": 4.18359375e-05,
110
+ "loss": 0.0999,
111
+ "step": 918
112
+ },
113
+ {
114
+ "epoch": 6.0,
115
+ "eval_bleu": 0.44934275646340344,
116
+ "eval_loss": 0.39377203583717346,
117
+ "eval_rouge1": 0.6978745123044579,
118
+ "eval_rouge2": 0.45411326233563776,
119
+ "eval_rougeL": 0.693627688943746,
120
+ "eval_runtime": 2.8238,
121
+ "eval_samples_per_second": 107.657,
122
+ "eval_steps_per_second": 13.457,
123
+ "step": 918
124
+ },
125
+ {
126
+ "epoch": 7.0,
127
+ "grad_norm": 1.0308947563171387,
128
+ "learning_rate": 3.884765625e-05,
129
+ "loss": 0.0844,
130
+ "step": 1071
131
+ },
132
+ {
133
+ "epoch": 7.0,
134
+ "eval_bleu": 0.46229210583360764,
135
+ "eval_loss": 0.39711037278175354,
136
+ "eval_rouge1": 0.7106823471740515,
137
+ "eval_rouge2": 0.4766332327393774,
138
+ "eval_rougeL": 0.7069100507308859,
139
+ "eval_runtime": 2.6065,
140
+ "eval_samples_per_second": 116.631,
141
+ "eval_steps_per_second": 14.579,
142
+ "step": 1071
143
+ },
144
+ {
145
+ "epoch": 8.0,
146
+ "grad_norm": 0.5569229125976562,
147
+ "learning_rate": 3.5859375e-05,
148
+ "loss": 0.0741,
149
+ "step": 1224
150
+ },
151
+ {
152
+ "epoch": 8.0,
153
+ "eval_bleu": 0.4714652829533398,
154
+ "eval_loss": 0.3946935832500458,
155
+ "eval_rouge1": 0.7228506957910504,
156
+ "eval_rouge2": 0.48947047623829953,
157
+ "eval_rougeL": 0.7188907468330396,
158
+ "eval_runtime": 3.6852,
159
+ "eval_samples_per_second": 82.492,
160
+ "eval_steps_per_second": 10.311,
161
+ "step": 1224
162
+ },
163
+ {
164
+ "epoch": 8.0,
165
+ "step": 1224,
166
+ "total_flos": 2264172293259264.0,
167
+ "train_loss": 0.719257706910177,
168
+ "train_runtime": 2187.326,
169
+ "train_samples_per_second": 11.146,
170
+ "train_steps_per_second": 1.399
171
+ }
172
+ ],
173
+ "logging_steps": 500,
174
+ "max_steps": 3060,
175
+ "num_input_tokens_seen": 0,
176
+ "num_train_epochs": 20,
177
+ "save_steps": 500,
178
+ "stateful_callbacks": {
179
+ "EarlyStoppingCallback": {
180
+ "args": {
181
+ "early_stopping_patience": 5,
182
+ "early_stopping_threshold": 0.0
183
+ },
184
+ "attributes": {
185
+ "early_stopping_patience_counter": 0
186
+ }
187
+ },
188
+ "TrainerControl": {
189
+ "args": {
190
+ "should_epoch_stop": false,
191
+ "should_evaluate": false,
192
+ "should_log": false,
193
+ "should_save": true,
194
+ "should_training_stop": true
195
+ },
196
+ "attributes": {}
197
+ }
198
+ },
199
+ "total_flos": 2264172293259264.0,
200
+ "train_batch_size": 8,
201
+ "trial_name": null,
202
+ "trial_params": null
203
+ }