End of training
Browse files- README.md +23 -2
- all_results.json +10 -10
- eval_results.json +5 -5
- generation_config.json +0 -1
- train_results.json +5 -5
- trainer_state.json +33 -15
README.md
CHANGED
@@ -1,13 +1,31 @@
|
|
1 |
---
|
|
|
|
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: t5-small
|
4 |
tags:
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- opus100
|
|
|
|
|
8 |
model-index:
|
9 |
- name: english-hebrew
|
10 |
-
results:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
11 |
---
|
12 |
|
13 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -15,7 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# english-hebrew
|
17 |
|
18 |
-
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 dataset.
|
|
|
|
|
|
|
19 |
|
20 |
## Model description
|
21 |
|
|
|
1 |
---
|
2 |
+
language:
|
3 |
+
- en
|
4 |
+
- he
|
5 |
license: apache-2.0
|
6 |
base_model: t5-small
|
7 |
tags:
|
8 |
- generated_from_trainer
|
9 |
datasets:
|
10 |
- opus100
|
11 |
+
metrics:
|
12 |
+
- bleu
|
13 |
model-index:
|
14 |
- name: english-hebrew
|
15 |
+
results:
|
16 |
+
- task:
|
17 |
+
name: Translation
|
18 |
+
type: translation
|
19 |
+
dataset:
|
20 |
+
name: opus100 en-he
|
21 |
+
type: opus100
|
22 |
+
config: en-he
|
23 |
+
split: validation
|
24 |
+
args: en-he
|
25 |
+
metrics:
|
26 |
+
- name: Bleu
|
27 |
+
type: bleu
|
28 |
+
value: 0.0
|
29 |
---
|
30 |
|
31 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
33 |
|
34 |
# english-hebrew
|
35 |
|
36 |
+
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the opus100 en-he dataset.
|
37 |
+
It achieves the following results on the evaluation set:
|
38 |
+
- Loss: 0.3630
|
39 |
+
- Bleu: 0.0
|
40 |
|
41 |
## Model description
|
42 |
|
all_results.json
CHANGED
@@ -1,14 +1,14 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
"eval_bleu": 0.0,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples":
|
7 |
-
"eval_samples_per_second": 0.
|
8 |
-
"eval_steps_per_second": 0.
|
9 |
-
"train_loss": 0.
|
10 |
-
"train_runtime":
|
11 |
-
"train_samples":
|
12 |
-
"train_samples_per_second":
|
13 |
-
"train_steps_per_second": 3.
|
14 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
"eval_bleu": 0.0,
|
4 |
+
"eval_loss": 0.36301419138908386,
|
5 |
+
"eval_runtime": 93.3757,
|
6 |
+
"eval_samples": 8,
|
7 |
+
"eval_samples_per_second": 0.086,
|
8 |
+
"eval_steps_per_second": 0.021,
|
9 |
+
"train_loss": 0.2741566179393298,
|
10 |
+
"train_runtime": 830.8843,
|
11 |
+
"train_samples": 3907,
|
12 |
+
"train_samples_per_second": 14.107,
|
13 |
+
"train_steps_per_second": 3.528
|
14 |
}
|
eval_results.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
"eval_bleu": 0.0,
|
4 |
-
"eval_loss": 0.
|
5 |
-
"eval_runtime":
|
6 |
-
"eval_samples":
|
7 |
-
"eval_samples_per_second": 0.
|
8 |
-
"eval_steps_per_second": 0.
|
9 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
"eval_bleu": 0.0,
|
4 |
+
"eval_loss": 0.36301419138908386,
|
5 |
+
"eval_runtime": 93.3757,
|
6 |
+
"eval_samples": 8,
|
7 |
+
"eval_samples_per_second": 0.086,
|
8 |
+
"eval_steps_per_second": 0.021
|
9 |
}
|
generation_config.json
CHANGED
@@ -1,5 +1,4 @@
|
|
1 |
{
|
2 |
-
"_from_model_config": true,
|
3 |
"decoder_start_token_id": 0,
|
4 |
"eos_token_id": 1,
|
5 |
"pad_token_id": 0,
|
|
|
1 |
{
|
|
|
2 |
"decoder_start_token_id": 0,
|
3 |
"eos_token_id": 1,
|
4 |
"pad_token_id": 0,
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
-
"train_samples":
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 3.
|
8 |
}
|
|
|
1 |
{
|
2 |
"epoch": 3.0,
|
3 |
+
"train_loss": 0.2741566179393298,
|
4 |
+
"train_runtime": 830.8843,
|
5 |
+
"train_samples": 3907,
|
6 |
+
"train_samples_per_second": 14.107,
|
7 |
+
"train_steps_per_second": 3.528
|
8 |
}
|
trainer_state.json
CHANGED
@@ -3,38 +3,56 @@
|
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 3.0,
|
5 |
"eval_steps": 500,
|
6 |
-
"global_step":
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
-
"epoch":
|
13 |
-
"learning_rate":
|
14 |
-
"loss": 0.
|
15 |
"step": 500
|
16 |
},
|
17 |
{
|
18 |
-
"epoch":
|
19 |
-
"learning_rate":
|
20 |
-
"loss": 0.
|
21 |
"step": 1000
|
22 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
23 |
{
|
24 |
"epoch": 3.0,
|
25 |
-
"step":
|
26 |
-
"total_flos":
|
27 |
-
"train_loss": 0.
|
28 |
-
"train_runtime":
|
29 |
-
"train_samples_per_second":
|
30 |
-
"train_steps_per_second": 3.
|
31 |
}
|
32 |
],
|
33 |
"logging_steps": 500,
|
34 |
-
"max_steps":
|
35 |
"num_train_epochs": 3,
|
36 |
"save_steps": 500,
|
37 |
-
"total_flos":
|
38 |
"trial_name": null,
|
39 |
"trial_params": null
|
40 |
}
|
|
|
3 |
"best_model_checkpoint": null,
|
4 |
"epoch": 3.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 2931,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
10 |
"log_history": [
|
11 |
{
|
12 |
+
"epoch": 0.51,
|
13 |
+
"learning_rate": 4.14704878880928e-05,
|
14 |
+
"loss": 0.3586,
|
15 |
"step": 500
|
16 |
},
|
17 |
{
|
18 |
+
"epoch": 1.02,
|
19 |
+
"learning_rate": 3.294097577618561e-05,
|
20 |
+
"loss": 0.2728,
|
21 |
"step": 1000
|
22 |
},
|
23 |
+
{
|
24 |
+
"epoch": 1.54,
|
25 |
+
"learning_rate": 2.4411463664278406e-05,
|
26 |
+
"loss": 0.2668,
|
27 |
+
"step": 1500
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 2.05,
|
31 |
+
"learning_rate": 1.5881951552371206e-05,
|
32 |
+
"loss": 0.2508,
|
33 |
+
"step": 2000
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 2.56,
|
37 |
+
"learning_rate": 7.3524394404640055e-06,
|
38 |
+
"loss": 0.2471,
|
39 |
+
"step": 2500
|
40 |
+
},
|
41 |
{
|
42 |
"epoch": 3.0,
|
43 |
+
"step": 2931,
|
44 |
+
"total_flos": 74769472487424.0,
|
45 |
+
"train_loss": 0.2741566179393298,
|
46 |
+
"train_runtime": 830.8843,
|
47 |
+
"train_samples_per_second": 14.107,
|
48 |
+
"train_steps_per_second": 3.528
|
49 |
}
|
50 |
],
|
51 |
"logging_steps": 500,
|
52 |
+
"max_steps": 2931,
|
53 |
"num_train_epochs": 3,
|
54 |
"save_steps": 500,
|
55 |
+
"total_flos": 74769472487424.0,
|
56 |
"trial_name": null,
|
57 |
"trial_params": null
|
58 |
}
|