- README.md +48 -0
- checkpoint-70215/config.json +61 -0
- checkpoint-70215/generation_config.json +6 -0
- checkpoint-70215/optimizer.pt +3 -0
- checkpoint-70215/pytorch_model.bin +3 -0
- checkpoint-70215/rng_state.pth +3 -0
- checkpoint-70215/scheduler.pt +3 -0
- checkpoint-70215/trainer_state.json +895 -0
- checkpoint-70215/training_args.bin +3 -0
- checkpoint-93620/config.json +61 -0
- checkpoint-93620/generation_config.json +6 -0
- checkpoint-93620/optimizer.pt +3 -0
- checkpoint-93620/pytorch_model.bin +3 -0
- checkpoint-93620/rng_state.pth +3 -0
- checkpoint-93620/scheduler.pt +3 -0
- checkpoint-93620/trainer_state.json +1190 -0
- checkpoint-93620/training_args.bin +3 -0
- logs/events.out.tfevents.1691051711.f1837383dfd0.2726.0 +3 -0
- logs/events.out.tfevents.1691068757.f1837383dfd0.2726.1 +3 -0
- special_tokens_map.json +107 -0
- tokenizer.json +0 -0
- tokenizer_config.json +112 -0
README.md
ADDED
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: google/flan-t5-small
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
model-index:
|
7 |
+
- name: IA
|
8 |
+
results: []
|
9 |
+
---
|
10 |
+
|
11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
12 |
+
should probably proofread and complete it, then remove this comment. -->
|
13 |
+
|
14 |
+
# IA
|
15 |
+
|
16 |
+
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
|
17 |
+
|
18 |
+
## Model description
|
19 |
+
|
20 |
+
More information needed
|
21 |
+
|
22 |
+
## Intended uses & limitations
|
23 |
+
|
24 |
+
More information needed
|
25 |
+
|
26 |
+
## Training and evaluation data
|
27 |
+
|
28 |
+
More information needed
|
29 |
+
|
30 |
+
## Training procedure
|
31 |
+
|
32 |
+
### Training hyperparameters
|
33 |
+
|
34 |
+
The following hyperparameters were used during training:
|
35 |
+
- learning_rate: 5e-05
|
36 |
+
- train_batch_size: 8
|
37 |
+
- eval_batch_size: 8
|
38 |
+
- seed: 42
|
39 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
40 |
+
- lr_scheduler_type: linear
|
41 |
+
- num_epochs: 4
|
42 |
+
|
43 |
+
### Framework versions
|
44 |
+
|
45 |
+
- Transformers 4.31.0
|
46 |
+
- Pytorch 2.0.1+cu118
|
47 |
+
- Datasets 2.14.2
|
48 |
+
- Tokenizers 0.13.3
|
checkpoint-70215/config.json
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/flan-t5-small",
|
3 |
+
"architectures": [
|
4 |
+
"T5ForConditionalGeneration"
|
5 |
+
],
|
6 |
+
"d_ff": 1024,
|
7 |
+
"d_kv": 64,
|
8 |
+
"d_model": 512,
|
9 |
+
"decoder_start_token_id": 0,
|
10 |
+
"dense_act_fn": "gelu_new",
|
11 |
+
"dropout_rate": 0.1,
|
12 |
+
"eos_token_id": 1,
|
13 |
+
"feed_forward_proj": "gated-gelu",
|
14 |
+
"initializer_factor": 1.0,
|
15 |
+
"is_encoder_decoder": true,
|
16 |
+
"is_gated_act": true,
|
17 |
+
"layer_norm_epsilon": 1e-06,
|
18 |
+
"model_type": "t5",
|
19 |
+
"n_positions": 512,
|
20 |
+
"num_decoder_layers": 8,
|
21 |
+
"num_heads": 6,
|
22 |
+
"num_layers": 8,
|
23 |
+
"output_past": true,
|
24 |
+
"pad_token_id": 0,
|
25 |
+
"relative_attention_max_distance": 128,
|
26 |
+
"relative_attention_num_buckets": 32,
|
27 |
+
"task_specific_params": {
|
28 |
+
"summarization": {
|
29 |
+
"early_stopping": true,
|
30 |
+
"length_penalty": 2.0,
|
31 |
+
"max_length": 200,
|
32 |
+
"min_length": 30,
|
33 |
+
"no_repeat_ngram_size": 3,
|
34 |
+
"num_beams": 4,
|
35 |
+
"prefix": "summarize: "
|
36 |
+
},
|
37 |
+
"translation_en_to_de": {
|
38 |
+
"early_stopping": true,
|
39 |
+
"max_length": 300,
|
40 |
+
"num_beams": 4,
|
41 |
+
"prefix": "translate English to German: "
|
42 |
+
},
|
43 |
+
"translation_en_to_fr": {
|
44 |
+
"early_stopping": true,
|
45 |
+
"max_length": 300,
|
46 |
+
"num_beams": 4,
|
47 |
+
"prefix": "translate English to French: "
|
48 |
+
},
|
49 |
+
"translation_en_to_ro": {
|
50 |
+
"early_stopping": true,
|
51 |
+
"max_length": 300,
|
52 |
+
"num_beams": 4,
|
53 |
+
"prefix": "translate English to Romanian: "
|
54 |
+
}
|
55 |
+
},
|
56 |
+
"tie_word_embeddings": false,
|
57 |
+
"torch_dtype": "float32",
|
58 |
+
"transformers_version": "4.31.0",
|
59 |
+
"use_cache": true,
|
60 |
+
"vocab_size": 32128
|
61 |
+
}
|
checkpoint-70215/generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"decoder_start_token_id": 0,
|
3 |
+
"eos_token_id": 1,
|
4 |
+
"pad_token_id": 0,
|
5 |
+
"transformers_version": "4.31.0"
|
6 |
+
}
|
checkpoint-70215/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:981a70e351717de4bc99b89850fe6de3e53ec0b49fe5fc582e676a062a6f1ed2
|
3 |
+
size 615802245
|
checkpoint-70215/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b56bc5978ee26aa9fb09e06f22425780d636b77caebfc793e9551897cc5e6e0b
|
3 |
+
size 307910149
|
checkpoint-70215/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c16a8e86482536b523f171b3ac8b14cb8494f722188d7bf4858bac595d6bf909
|
3 |
+
size 14575
|
checkpoint-70215/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ac154dd458d4a57c7000512f637bdf8c80e0f1403c9e84330d296a9d3ee92ad4
|
3 |
+
size 627
|
checkpoint-70215/trainer_state.json
ADDED
@@ -0,0 +1,895 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9058317542076111,
|
3 |
+
"best_model_checkpoint": "norBARA/IA/checkpoint-70215",
|
4 |
+
"epoch": 3.0,
|
5 |
+
"global_step": 70215,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.02,
|
12 |
+
"learning_rate": 4.973296304208503e-05,
|
13 |
+
"loss": 4.0843,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.04,
|
18 |
+
"learning_rate": 4.946592608417005e-05,
|
19 |
+
"loss": 3.5105,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.06,
|
24 |
+
"learning_rate": 4.9198889126255076e-05,
|
25 |
+
"loss": 3.2948,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.09,
|
30 |
+
"learning_rate": 4.89318521683401e-05,
|
31 |
+
"loss": 3.1137,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.11,
|
36 |
+
"learning_rate": 4.8664815210425125e-05,
|
37 |
+
"loss": 2.9855,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.13,
|
42 |
+
"learning_rate": 4.839777825251015e-05,
|
43 |
+
"loss": 2.9086,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.15,
|
48 |
+
"learning_rate": 4.8130741294595174e-05,
|
49 |
+
"loss": 2.8061,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.17,
|
54 |
+
"learning_rate": 4.78637043366802e-05,
|
55 |
+
"loss": 2.7305,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.19,
|
60 |
+
"learning_rate": 4.7596667378765224e-05,
|
61 |
+
"loss": 2.6679,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.21,
|
66 |
+
"learning_rate": 4.732963042085025e-05,
|
67 |
+
"loss": 2.616,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.23,
|
72 |
+
"learning_rate": 4.706259346293527e-05,
|
73 |
+
"loss": 2.5824,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.26,
|
78 |
+
"learning_rate": 4.67955565050203e-05,
|
79 |
+
"loss": 2.5671,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.28,
|
84 |
+
"learning_rate": 4.652851954710532e-05,
|
85 |
+
"loss": 2.4818,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.3,
|
90 |
+
"learning_rate": 4.6261482589190346e-05,
|
91 |
+
"loss": 2.4255,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.32,
|
96 |
+
"learning_rate": 4.599444563127537e-05,
|
97 |
+
"loss": 2.4096,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.34,
|
102 |
+
"learning_rate": 4.5727408673360395e-05,
|
103 |
+
"loss": 2.3959,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.36,
|
108 |
+
"learning_rate": 4.546037171544542e-05,
|
109 |
+
"loss": 2.3399,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.38,
|
114 |
+
"learning_rate": 4.5193334757530445e-05,
|
115 |
+
"loss": 2.3288,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.41,
|
120 |
+
"learning_rate": 4.492629779961547e-05,
|
121 |
+
"loss": 2.2737,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.43,
|
126 |
+
"learning_rate": 4.4659260841700494e-05,
|
127 |
+
"loss": 2.2641,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.45,
|
132 |
+
"learning_rate": 4.439222388378552e-05,
|
133 |
+
"loss": 2.2556,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.47,
|
138 |
+
"learning_rate": 4.412518692587054e-05,
|
139 |
+
"loss": 2.2102,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.49,
|
144 |
+
"learning_rate": 4.385814996795557e-05,
|
145 |
+
"loss": 2.157,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.51,
|
150 |
+
"learning_rate": 4.359111301004059e-05,
|
151 |
+
"loss": 2.1435,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.53,
|
156 |
+
"learning_rate": 4.3324076052125617e-05,
|
157 |
+
"loss": 2.1125,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.56,
|
162 |
+
"learning_rate": 4.305703909421064e-05,
|
163 |
+
"loss": 2.0885,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.58,
|
168 |
+
"learning_rate": 4.2790002136295666e-05,
|
169 |
+
"loss": 2.0974,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.6,
|
174 |
+
"learning_rate": 4.252296517838069e-05,
|
175 |
+
"loss": 2.0545,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.62,
|
180 |
+
"learning_rate": 4.2255928220465715e-05,
|
181 |
+
"loss": 2.0123,
|
182 |
+
"step": 14500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.64,
|
186 |
+
"learning_rate": 4.198889126255074e-05,
|
187 |
+
"loss": 2.0299,
|
188 |
+
"step": 15000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.66,
|
192 |
+
"learning_rate": 4.1721854304635764e-05,
|
193 |
+
"loss": 1.963,
|
194 |
+
"step": 15500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.68,
|
198 |
+
"learning_rate": 4.145481734672079e-05,
|
199 |
+
"loss": 2.0054,
|
200 |
+
"step": 16000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.7,
|
204 |
+
"learning_rate": 4.118778038880581e-05,
|
205 |
+
"loss": 2.0102,
|
206 |
+
"step": 16500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.73,
|
210 |
+
"learning_rate": 4.092074343089084e-05,
|
211 |
+
"loss": 1.9359,
|
212 |
+
"step": 17000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.75,
|
216 |
+
"learning_rate": 4.065370647297586e-05,
|
217 |
+
"loss": 1.9243,
|
218 |
+
"step": 17500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.77,
|
222 |
+
"learning_rate": 4.038666951506089e-05,
|
223 |
+
"loss": 1.9235,
|
224 |
+
"step": 18000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.79,
|
228 |
+
"learning_rate": 4.011963255714591e-05,
|
229 |
+
"loss": 1.8522,
|
230 |
+
"step": 18500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.81,
|
234 |
+
"learning_rate": 3.9852595599230936e-05,
|
235 |
+
"loss": 1.8656,
|
236 |
+
"step": 19000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.83,
|
240 |
+
"learning_rate": 3.958555864131596e-05,
|
241 |
+
"loss": 1.8714,
|
242 |
+
"step": 19500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.85,
|
246 |
+
"learning_rate": 3.9318521683400985e-05,
|
247 |
+
"loss": 1.8386,
|
248 |
+
"step": 20000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.88,
|
252 |
+
"learning_rate": 3.905148472548601e-05,
|
253 |
+
"loss": 1.8411,
|
254 |
+
"step": 20500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.9,
|
258 |
+
"learning_rate": 3.8784447767571034e-05,
|
259 |
+
"loss": 1.8251,
|
260 |
+
"step": 21000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.92,
|
264 |
+
"learning_rate": 3.851741080965606e-05,
|
265 |
+
"loss": 1.8082,
|
266 |
+
"step": 21500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.94,
|
270 |
+
"learning_rate": 3.825037385174108e-05,
|
271 |
+
"loss": 1.7752,
|
272 |
+
"step": 22000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.96,
|
276 |
+
"learning_rate": 3.798333689382611e-05,
|
277 |
+
"loss": 1.7992,
|
278 |
+
"step": 22500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.98,
|
282 |
+
"learning_rate": 3.771629993591113e-05,
|
283 |
+
"loss": 1.7578,
|
284 |
+
"step": 23000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.0,
|
288 |
+
"eval_gen_len": 10.30942106387524,
|
289 |
+
"eval_loss": 1.3722968101501465,
|
290 |
+
"eval_rouge1": 13.5957,
|
291 |
+
"eval_rouge2": 7.0766,
|
292 |
+
"eval_rougeL": 13.3911,
|
293 |
+
"eval_rougeLsum": 13.3971,
|
294 |
+
"eval_runtime": 1615.8665,
|
295 |
+
"eval_samples_per_second": 28.969,
|
296 |
+
"eval_steps_per_second": 3.622,
|
297 |
+
"step": 23405
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 1.0,
|
301 |
+
"learning_rate": 3.744926297799616e-05,
|
302 |
+
"loss": 1.7477,
|
303 |
+
"step": 23500
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 1.03,
|
307 |
+
"learning_rate": 3.718222602008118e-05,
|
308 |
+
"loss": 1.7099,
|
309 |
+
"step": 24000
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.05,
|
313 |
+
"learning_rate": 3.6915189062166206e-05,
|
314 |
+
"loss": 1.7081,
|
315 |
+
"step": 24500
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 1.07,
|
319 |
+
"learning_rate": 3.664815210425123e-05,
|
320 |
+
"loss": 1.7086,
|
321 |
+
"step": 25000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 1.09,
|
325 |
+
"learning_rate": 3.6381115146336255e-05,
|
326 |
+
"loss": 1.6554,
|
327 |
+
"step": 25500
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 1.11,
|
331 |
+
"learning_rate": 3.611407818842128e-05,
|
332 |
+
"loss": 1.6971,
|
333 |
+
"step": 26000
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 1.13,
|
337 |
+
"learning_rate": 3.5847041230506304e-05,
|
338 |
+
"loss": 1.6616,
|
339 |
+
"step": 26500
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.15,
|
343 |
+
"learning_rate": 3.558000427259133e-05,
|
344 |
+
"loss": 1.6644,
|
345 |
+
"step": 27000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 1.17,
|
349 |
+
"learning_rate": 3.5312967314676354e-05,
|
350 |
+
"loss": 1.6301,
|
351 |
+
"step": 27500
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 1.2,
|
355 |
+
"learning_rate": 3.504593035676138e-05,
|
356 |
+
"loss": 1.638,
|
357 |
+
"step": 28000
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 1.22,
|
361 |
+
"learning_rate": 3.47788933988464e-05,
|
362 |
+
"loss": 1.6436,
|
363 |
+
"step": 28500
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 1.24,
|
367 |
+
"learning_rate": 3.451185644093143e-05,
|
368 |
+
"loss": 1.6214,
|
369 |
+
"step": 29000
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.26,
|
373 |
+
"learning_rate": 3.424481948301645e-05,
|
374 |
+
"loss": 1.5978,
|
375 |
+
"step": 29500
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.28,
|
379 |
+
"learning_rate": 3.3977782525101476e-05,
|
380 |
+
"loss": 1.5972,
|
381 |
+
"step": 30000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.3,
|
385 |
+
"learning_rate": 3.37107455671865e-05,
|
386 |
+
"loss": 1.6007,
|
387 |
+
"step": 30500
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.32,
|
391 |
+
"learning_rate": 3.3443708609271526e-05,
|
392 |
+
"loss": 1.5834,
|
393 |
+
"step": 31000
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 1.35,
|
397 |
+
"learning_rate": 3.317667165135655e-05,
|
398 |
+
"loss": 1.5915,
|
399 |
+
"step": 31500
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 1.37,
|
403 |
+
"learning_rate": 3.290963469344157e-05,
|
404 |
+
"loss": 1.5525,
|
405 |
+
"step": 32000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.39,
|
409 |
+
"learning_rate": 3.26425977355266e-05,
|
410 |
+
"loss": 1.546,
|
411 |
+
"step": 32500
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.41,
|
415 |
+
"learning_rate": 3.2375560777611624e-05,
|
416 |
+
"loss": 1.5355,
|
417 |
+
"step": 33000
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 1.43,
|
421 |
+
"learning_rate": 3.210852381969665e-05,
|
422 |
+
"loss": 1.5136,
|
423 |
+
"step": 33500
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 1.45,
|
427 |
+
"learning_rate": 3.184148686178167e-05,
|
428 |
+
"loss": 1.5422,
|
429 |
+
"step": 34000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.47,
|
433 |
+
"learning_rate": 3.15744499038667e-05,
|
434 |
+
"loss": 1.5073,
|
435 |
+
"step": 34500
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.5,
|
439 |
+
"learning_rate": 3.130741294595172e-05,
|
440 |
+
"loss": 1.4878,
|
441 |
+
"step": 35000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.52,
|
445 |
+
"learning_rate": 3.104037598803675e-05,
|
446 |
+
"loss": 1.5078,
|
447 |
+
"step": 35500
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 1.54,
|
451 |
+
"learning_rate": 3.077333903012177e-05,
|
452 |
+
"loss": 1.5254,
|
453 |
+
"step": 36000
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 1.56,
|
457 |
+
"learning_rate": 3.0506302072206792e-05,
|
458 |
+
"loss": 1.4822,
|
459 |
+
"step": 36500
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.58,
|
463 |
+
"learning_rate": 3.023926511429182e-05,
|
464 |
+
"loss": 1.4692,
|
465 |
+
"step": 37000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.6,
|
469 |
+
"learning_rate": 2.997222815637684e-05,
|
470 |
+
"loss": 1.4699,
|
471 |
+
"step": 37500
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.62,
|
475 |
+
"learning_rate": 2.970519119846187e-05,
|
476 |
+
"loss": 1.5252,
|
477 |
+
"step": 38000
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 1.64,
|
481 |
+
"learning_rate": 2.9438154240546894e-05,
|
482 |
+
"loss": 1.476,
|
483 |
+
"step": 38500
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 1.67,
|
487 |
+
"learning_rate": 2.9171117282631915e-05,
|
488 |
+
"loss": 1.4817,
|
489 |
+
"step": 39000
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 1.69,
|
493 |
+
"learning_rate": 2.8904080324716943e-05,
|
494 |
+
"loss": 1.4274,
|
495 |
+
"step": 39500
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 1.71,
|
499 |
+
"learning_rate": 2.8637043366801968e-05,
|
500 |
+
"loss": 1.4528,
|
501 |
+
"step": 40000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.73,
|
505 |
+
"learning_rate": 2.837000640888699e-05,
|
506 |
+
"loss": 1.4375,
|
507 |
+
"step": 40500
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.75,
|
511 |
+
"learning_rate": 2.8102969450972017e-05,
|
512 |
+
"loss": 1.4036,
|
513 |
+
"step": 41000
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.77,
|
517 |
+
"learning_rate": 2.783593249305704e-05,
|
518 |
+
"loss": 1.38,
|
519 |
+
"step": 41500
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 1.79,
|
523 |
+
"learning_rate": 2.7568895535142063e-05,
|
524 |
+
"loss": 1.4489,
|
525 |
+
"step": 42000
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.82,
|
529 |
+
"learning_rate": 2.730185857722709e-05,
|
530 |
+
"loss": 1.3985,
|
531 |
+
"step": 42500
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.84,
|
535 |
+
"learning_rate": 2.7034821619312112e-05,
|
536 |
+
"loss": 1.4323,
|
537 |
+
"step": 43000
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 1.86,
|
541 |
+
"learning_rate": 2.676778466139714e-05,
|
542 |
+
"loss": 1.4051,
|
543 |
+
"step": 43500
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 1.88,
|
547 |
+
"learning_rate": 2.6500747703482164e-05,
|
548 |
+
"loss": 1.3908,
|
549 |
+
"step": 44000
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.9,
|
553 |
+
"learning_rate": 2.6233710745567186e-05,
|
554 |
+
"loss": 1.3892,
|
555 |
+
"step": 44500
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.92,
|
559 |
+
"learning_rate": 2.5966673787652213e-05,
|
560 |
+
"loss": 1.3936,
|
561 |
+
"step": 45000
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 1.94,
|
565 |
+
"learning_rate": 2.5699636829737238e-05,
|
566 |
+
"loss": 1.4004,
|
567 |
+
"step": 45500
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 1.97,
|
571 |
+
"learning_rate": 2.543259987182226e-05,
|
572 |
+
"loss": 1.3838,
|
573 |
+
"step": 46000
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 1.99,
|
577 |
+
"learning_rate": 2.5165562913907287e-05,
|
578 |
+
"loss": 1.3756,
|
579 |
+
"step": 46500
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 2.0,
|
583 |
+
"eval_gen_len": 10.362208929715873,
|
584 |
+
"eval_loss": 1.0369791984558105,
|
585 |
+
"eval_rouge1": 21.6305,
|
586 |
+
"eval_rouge2": 14.527,
|
587 |
+
"eval_rougeL": 21.4438,
|
588 |
+
"eval_rougeLsum": 21.4536,
|
589 |
+
"eval_runtime": 1661.185,
|
590 |
+
"eval_samples_per_second": 28.179,
|
591 |
+
"eval_steps_per_second": 3.523,
|
592 |
+
"step": 46810
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 2.01,
|
596 |
+
"learning_rate": 2.4898525955992312e-05,
|
597 |
+
"loss": 1.3742,
|
598 |
+
"step": 47000
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 2.03,
|
602 |
+
"learning_rate": 2.4631488998077333e-05,
|
603 |
+
"loss": 1.3323,
|
604 |
+
"step": 47500
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 2.05,
|
608 |
+
"learning_rate": 2.4364452040162358e-05,
|
609 |
+
"loss": 1.3481,
|
610 |
+
"step": 48000
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 2.07,
|
614 |
+
"learning_rate": 2.4097415082247385e-05,
|
615 |
+
"loss": 1.3529,
|
616 |
+
"step": 48500
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 2.09,
|
620 |
+
"learning_rate": 2.383037812433241e-05,
|
621 |
+
"loss": 1.3385,
|
622 |
+
"step": 49000
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 2.11,
|
626 |
+
"learning_rate": 2.356334116641743e-05,
|
627 |
+
"loss": 1.3378,
|
628 |
+
"step": 49500
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 2.14,
|
632 |
+
"learning_rate": 2.329630420850246e-05,
|
633 |
+
"loss": 1.3214,
|
634 |
+
"step": 50000
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 2.16,
|
638 |
+
"learning_rate": 2.3029267250587484e-05,
|
639 |
+
"loss": 1.3214,
|
640 |
+
"step": 50500
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 2.18,
|
644 |
+
"learning_rate": 2.2762230292672508e-05,
|
645 |
+
"loss": 1.3032,
|
646 |
+
"step": 51000
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 2.2,
|
650 |
+
"learning_rate": 2.249519333475753e-05,
|
651 |
+
"loss": 1.3152,
|
652 |
+
"step": 51500
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 2.22,
|
656 |
+
"learning_rate": 2.2228156376842557e-05,
|
657 |
+
"loss": 1.3169,
|
658 |
+
"step": 52000
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 2.24,
|
662 |
+
"learning_rate": 2.1961119418927582e-05,
|
663 |
+
"loss": 1.3132,
|
664 |
+
"step": 52500
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 2.26,
|
668 |
+
"learning_rate": 2.1694082461012603e-05,
|
669 |
+
"loss": 1.3171,
|
670 |
+
"step": 53000
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 2.29,
|
674 |
+
"learning_rate": 2.1427045503097628e-05,
|
675 |
+
"loss": 1.2979,
|
676 |
+
"step": 53500
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 2.31,
|
680 |
+
"learning_rate": 2.1160008545182656e-05,
|
681 |
+
"loss": 1.3013,
|
682 |
+
"step": 54000
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 2.33,
|
686 |
+
"learning_rate": 2.089297158726768e-05,
|
687 |
+
"loss": 1.3067,
|
688 |
+
"step": 54500
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 2.35,
|
692 |
+
"learning_rate": 2.06259346293527e-05,
|
693 |
+
"loss": 1.3199,
|
694 |
+
"step": 55000
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 2.37,
|
698 |
+
"learning_rate": 2.0358897671437726e-05,
|
699 |
+
"loss": 1.2876,
|
700 |
+
"step": 55500
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 2.39,
|
704 |
+
"learning_rate": 2.0091860713522754e-05,
|
705 |
+
"loss": 1.2876,
|
706 |
+
"step": 56000
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 2.41,
|
710 |
+
"learning_rate": 1.982482375560778e-05,
|
711 |
+
"loss": 1.2703,
|
712 |
+
"step": 56500
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 2.44,
|
716 |
+
"learning_rate": 1.95577867976928e-05,
|
717 |
+
"loss": 1.2641,
|
718 |
+
"step": 57000
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 2.46,
|
722 |
+
"learning_rate": 1.9290749839777828e-05,
|
723 |
+
"loss": 1.2976,
|
724 |
+
"step": 57500
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 2.48,
|
728 |
+
"learning_rate": 1.9023712881862852e-05,
|
729 |
+
"loss": 1.2577,
|
730 |
+
"step": 58000
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 2.5,
|
734 |
+
"learning_rate": 1.8756675923947873e-05,
|
735 |
+
"loss": 1.2925,
|
736 |
+
"step": 58500
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 2.52,
|
740 |
+
"learning_rate": 1.8489638966032898e-05,
|
741 |
+
"loss": 1.2686,
|
742 |
+
"step": 59000
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 2.54,
|
746 |
+
"learning_rate": 1.8222602008117926e-05,
|
747 |
+
"loss": 1.273,
|
748 |
+
"step": 59500
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 2.56,
|
752 |
+
"learning_rate": 1.795556505020295e-05,
|
753 |
+
"loss": 1.2604,
|
754 |
+
"step": 60000
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 2.58,
|
758 |
+
"learning_rate": 1.768852809228797e-05,
|
759 |
+
"loss": 1.265,
|
760 |
+
"step": 60500
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 2.61,
|
764 |
+
"learning_rate": 1.7421491134372996e-05,
|
765 |
+
"loss": 1.2653,
|
766 |
+
"step": 61000
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 2.63,
|
770 |
+
"learning_rate": 1.7154454176458024e-05,
|
771 |
+
"loss": 1.2241,
|
772 |
+
"step": 61500
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 2.65,
|
776 |
+
"learning_rate": 1.688741721854305e-05,
|
777 |
+
"loss": 1.233,
|
778 |
+
"step": 62000
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 2.67,
|
782 |
+
"learning_rate": 1.662038026062807e-05,
|
783 |
+
"loss": 1.2328,
|
784 |
+
"step": 62500
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 2.69,
|
788 |
+
"learning_rate": 1.6353343302713095e-05,
|
789 |
+
"loss": 1.2456,
|
790 |
+
"step": 63000
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 2.71,
|
794 |
+
"learning_rate": 1.6086306344798122e-05,
|
795 |
+
"loss": 1.2269,
|
796 |
+
"step": 63500
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 2.73,
|
800 |
+
"learning_rate": 1.5819269386883147e-05,
|
801 |
+
"loss": 1.2386,
|
802 |
+
"step": 64000
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 2.76,
|
806 |
+
"learning_rate": 1.5552232428968168e-05,
|
807 |
+
"loss": 1.2462,
|
808 |
+
"step": 64500
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 2.78,
|
812 |
+
"learning_rate": 1.5285195471053196e-05,
|
813 |
+
"loss": 1.2436,
|
814 |
+
"step": 65000
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 2.8,
|
818 |
+
"learning_rate": 1.5018158513138219e-05,
|
819 |
+
"loss": 1.2263,
|
820 |
+
"step": 65500
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 2.82,
|
824 |
+
"learning_rate": 1.4751121555223244e-05,
|
825 |
+
"loss": 1.2415,
|
826 |
+
"step": 66000
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 2.84,
|
830 |
+
"learning_rate": 1.4484084597308267e-05,
|
831 |
+
"loss": 1.256,
|
832 |
+
"step": 66500
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 2.86,
|
836 |
+
"learning_rate": 1.4217047639393294e-05,
|
837 |
+
"loss": 1.2272,
|
838 |
+
"step": 67000
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 2.88,
|
842 |
+
"learning_rate": 1.3950010681478317e-05,
|
843 |
+
"loss": 1.2169,
|
844 |
+
"step": 67500
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 2.91,
|
848 |
+
"learning_rate": 1.3682973723563342e-05,
|
849 |
+
"loss": 1.2149,
|
850 |
+
"step": 68000
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 2.93,
|
854 |
+
"learning_rate": 1.3415936765648365e-05,
|
855 |
+
"loss": 1.2085,
|
856 |
+
"step": 68500
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 2.95,
|
860 |
+
"learning_rate": 1.3148899807733393e-05,
|
861 |
+
"loss": 1.2077,
|
862 |
+
"step": 69000
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 2.97,
|
866 |
+
"learning_rate": 1.2881862849818416e-05,
|
867 |
+
"loss": 1.2123,
|
868 |
+
"step": 69500
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 2.99,
|
872 |
+
"learning_rate": 1.261482589190344e-05,
|
873 |
+
"loss": 1.2093,
|
874 |
+
"step": 70000
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 3.0,
|
878 |
+
"eval_gen_len": 9.954048280281992,
|
879 |
+
"eval_loss": 0.9058317542076111,
|
880 |
+
"eval_rouge1": 26.5379,
|
881 |
+
"eval_rouge2": 19.0017,
|
882 |
+
"eval_rougeL": 26.3586,
|
883 |
+
"eval_rougeLsum": 26.3719,
|
884 |
+
"eval_runtime": 1636.659,
|
885 |
+
"eval_samples_per_second": 28.601,
|
886 |
+
"eval_steps_per_second": 3.576,
|
887 |
+
"step": 70215
|
888 |
+
}
|
889 |
+
],
|
890 |
+
"max_steps": 93620,
|
891 |
+
"num_train_epochs": 4,
|
892 |
+
"total_flos": 9789226340843520.0,
|
893 |
+
"trial_name": null,
|
894 |
+
"trial_params": null
|
895 |
+
}
|
checkpoint-70215/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6b60b9e2fc63b431e182348795f85d6c9b1c879a51e45d10fb6ca306f20f4ce2
|
3 |
+
size 4091
|
checkpoint-93620/config.json
ADDED
@@ -0,0 +1,61 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/flan-t5-small",
|
3 |
+
"architectures": [
|
4 |
+
"T5ForConditionalGeneration"
|
5 |
+
],
|
6 |
+
"d_ff": 1024,
|
7 |
+
"d_kv": 64,
|
8 |
+
"d_model": 512,
|
9 |
+
"decoder_start_token_id": 0,
|
10 |
+
"dense_act_fn": "gelu_new",
|
11 |
+
"dropout_rate": 0.1,
|
12 |
+
"eos_token_id": 1,
|
13 |
+
"feed_forward_proj": "gated-gelu",
|
14 |
+
"initializer_factor": 1.0,
|
15 |
+
"is_encoder_decoder": true,
|
16 |
+
"is_gated_act": true,
|
17 |
+
"layer_norm_epsilon": 1e-06,
|
18 |
+
"model_type": "t5",
|
19 |
+
"n_positions": 512,
|
20 |
+
"num_decoder_layers": 8,
|
21 |
+
"num_heads": 6,
|
22 |
+
"num_layers": 8,
|
23 |
+
"output_past": true,
|
24 |
+
"pad_token_id": 0,
|
25 |
+
"relative_attention_max_distance": 128,
|
26 |
+
"relative_attention_num_buckets": 32,
|
27 |
+
"task_specific_params": {
|
28 |
+
"summarization": {
|
29 |
+
"early_stopping": true,
|
30 |
+
"length_penalty": 2.0,
|
31 |
+
"max_length": 200,
|
32 |
+
"min_length": 30,
|
33 |
+
"no_repeat_ngram_size": 3,
|
34 |
+
"num_beams": 4,
|
35 |
+
"prefix": "summarize: "
|
36 |
+
},
|
37 |
+
"translation_en_to_de": {
|
38 |
+
"early_stopping": true,
|
39 |
+
"max_length": 300,
|
40 |
+
"num_beams": 4,
|
41 |
+
"prefix": "translate English to German: "
|
42 |
+
},
|
43 |
+
"translation_en_to_fr": {
|
44 |
+
"early_stopping": true,
|
45 |
+
"max_length": 300,
|
46 |
+
"num_beams": 4,
|
47 |
+
"prefix": "translate English to French: "
|
48 |
+
},
|
49 |
+
"translation_en_to_ro": {
|
50 |
+
"early_stopping": true,
|
51 |
+
"max_length": 300,
|
52 |
+
"num_beams": 4,
|
53 |
+
"prefix": "translate English to Romanian: "
|
54 |
+
}
|
55 |
+
},
|
56 |
+
"tie_word_embeddings": false,
|
57 |
+
"torch_dtype": "float32",
|
58 |
+
"transformers_version": "4.31.0",
|
59 |
+
"use_cache": true,
|
60 |
+
"vocab_size": 32128
|
61 |
+
}
|
checkpoint-93620/generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"decoder_start_token_id": 0,
|
3 |
+
"eos_token_id": 1,
|
4 |
+
"pad_token_id": 0,
|
5 |
+
"transformers_version": "4.31.0"
|
6 |
+
}
|
checkpoint-93620/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:727f0321db100358e817820497d888d241be247f72f3764e51d00f5aa6aaa9b0
|
3 |
+
size 615802245
|
checkpoint-93620/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:03da812f9002a089317447134719f1093383ade0914e05a13b21a88e68f3ef0c
|
3 |
+
size 307910149
|
checkpoint-93620/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8eb435582ce54ad19816fb0495b13d9e5b20d42277ea8426f8ec558d3e4eca59
|
3 |
+
size 14575
|
checkpoint-93620/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6b0041c9a8218f0baaacfcae29f59ec87f229df6ee83ca1908b025fc0058af10
|
3 |
+
size 627
|
checkpoint-93620/trainer_state.json
ADDED
@@ -0,0 +1,1190 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.8677980303764343,
|
3 |
+
"best_model_checkpoint": "norBARA/IA/checkpoint-93620",
|
4 |
+
"epoch": 4.0,
|
5 |
+
"global_step": 93620,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.02,
|
12 |
+
"learning_rate": 4.973296304208503e-05,
|
13 |
+
"loss": 4.0843,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.04,
|
18 |
+
"learning_rate": 4.946592608417005e-05,
|
19 |
+
"loss": 3.5105,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.06,
|
24 |
+
"learning_rate": 4.9198889126255076e-05,
|
25 |
+
"loss": 3.2948,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.09,
|
30 |
+
"learning_rate": 4.89318521683401e-05,
|
31 |
+
"loss": 3.1137,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.11,
|
36 |
+
"learning_rate": 4.8664815210425125e-05,
|
37 |
+
"loss": 2.9855,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.13,
|
42 |
+
"learning_rate": 4.839777825251015e-05,
|
43 |
+
"loss": 2.9086,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.15,
|
48 |
+
"learning_rate": 4.8130741294595174e-05,
|
49 |
+
"loss": 2.8061,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.17,
|
54 |
+
"learning_rate": 4.78637043366802e-05,
|
55 |
+
"loss": 2.7305,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.19,
|
60 |
+
"learning_rate": 4.7596667378765224e-05,
|
61 |
+
"loss": 2.6679,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.21,
|
66 |
+
"learning_rate": 4.732963042085025e-05,
|
67 |
+
"loss": 2.616,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.23,
|
72 |
+
"learning_rate": 4.706259346293527e-05,
|
73 |
+
"loss": 2.5824,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.26,
|
78 |
+
"learning_rate": 4.67955565050203e-05,
|
79 |
+
"loss": 2.5671,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.28,
|
84 |
+
"learning_rate": 4.652851954710532e-05,
|
85 |
+
"loss": 2.4818,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.3,
|
90 |
+
"learning_rate": 4.6261482589190346e-05,
|
91 |
+
"loss": 2.4255,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.32,
|
96 |
+
"learning_rate": 4.599444563127537e-05,
|
97 |
+
"loss": 2.4096,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.34,
|
102 |
+
"learning_rate": 4.5727408673360395e-05,
|
103 |
+
"loss": 2.3959,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.36,
|
108 |
+
"learning_rate": 4.546037171544542e-05,
|
109 |
+
"loss": 2.3399,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.38,
|
114 |
+
"learning_rate": 4.5193334757530445e-05,
|
115 |
+
"loss": 2.3288,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.41,
|
120 |
+
"learning_rate": 4.492629779961547e-05,
|
121 |
+
"loss": 2.2737,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.43,
|
126 |
+
"learning_rate": 4.4659260841700494e-05,
|
127 |
+
"loss": 2.2641,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.45,
|
132 |
+
"learning_rate": 4.439222388378552e-05,
|
133 |
+
"loss": 2.2556,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.47,
|
138 |
+
"learning_rate": 4.412518692587054e-05,
|
139 |
+
"loss": 2.2102,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.49,
|
144 |
+
"learning_rate": 4.385814996795557e-05,
|
145 |
+
"loss": 2.157,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.51,
|
150 |
+
"learning_rate": 4.359111301004059e-05,
|
151 |
+
"loss": 2.1435,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.53,
|
156 |
+
"learning_rate": 4.3324076052125617e-05,
|
157 |
+
"loss": 2.1125,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.56,
|
162 |
+
"learning_rate": 4.305703909421064e-05,
|
163 |
+
"loss": 2.0885,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.58,
|
168 |
+
"learning_rate": 4.2790002136295666e-05,
|
169 |
+
"loss": 2.0974,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.6,
|
174 |
+
"learning_rate": 4.252296517838069e-05,
|
175 |
+
"loss": 2.0545,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.62,
|
180 |
+
"learning_rate": 4.2255928220465715e-05,
|
181 |
+
"loss": 2.0123,
|
182 |
+
"step": 14500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.64,
|
186 |
+
"learning_rate": 4.198889126255074e-05,
|
187 |
+
"loss": 2.0299,
|
188 |
+
"step": 15000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.66,
|
192 |
+
"learning_rate": 4.1721854304635764e-05,
|
193 |
+
"loss": 1.963,
|
194 |
+
"step": 15500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.68,
|
198 |
+
"learning_rate": 4.145481734672079e-05,
|
199 |
+
"loss": 2.0054,
|
200 |
+
"step": 16000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.7,
|
204 |
+
"learning_rate": 4.118778038880581e-05,
|
205 |
+
"loss": 2.0102,
|
206 |
+
"step": 16500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.73,
|
210 |
+
"learning_rate": 4.092074343089084e-05,
|
211 |
+
"loss": 1.9359,
|
212 |
+
"step": 17000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.75,
|
216 |
+
"learning_rate": 4.065370647297586e-05,
|
217 |
+
"loss": 1.9243,
|
218 |
+
"step": 17500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.77,
|
222 |
+
"learning_rate": 4.038666951506089e-05,
|
223 |
+
"loss": 1.9235,
|
224 |
+
"step": 18000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.79,
|
228 |
+
"learning_rate": 4.011963255714591e-05,
|
229 |
+
"loss": 1.8522,
|
230 |
+
"step": 18500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.81,
|
234 |
+
"learning_rate": 3.9852595599230936e-05,
|
235 |
+
"loss": 1.8656,
|
236 |
+
"step": 19000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.83,
|
240 |
+
"learning_rate": 3.958555864131596e-05,
|
241 |
+
"loss": 1.8714,
|
242 |
+
"step": 19500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.85,
|
246 |
+
"learning_rate": 3.9318521683400985e-05,
|
247 |
+
"loss": 1.8386,
|
248 |
+
"step": 20000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.88,
|
252 |
+
"learning_rate": 3.905148472548601e-05,
|
253 |
+
"loss": 1.8411,
|
254 |
+
"step": 20500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.9,
|
258 |
+
"learning_rate": 3.8784447767571034e-05,
|
259 |
+
"loss": 1.8251,
|
260 |
+
"step": 21000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.92,
|
264 |
+
"learning_rate": 3.851741080965606e-05,
|
265 |
+
"loss": 1.8082,
|
266 |
+
"step": 21500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.94,
|
270 |
+
"learning_rate": 3.825037385174108e-05,
|
271 |
+
"loss": 1.7752,
|
272 |
+
"step": 22000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.96,
|
276 |
+
"learning_rate": 3.798333689382611e-05,
|
277 |
+
"loss": 1.7992,
|
278 |
+
"step": 22500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.98,
|
282 |
+
"learning_rate": 3.771629993591113e-05,
|
283 |
+
"loss": 1.7578,
|
284 |
+
"step": 23000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 1.0,
|
288 |
+
"eval_gen_len": 10.30942106387524,
|
289 |
+
"eval_loss": 1.3722968101501465,
|
290 |
+
"eval_rouge1": 13.5957,
|
291 |
+
"eval_rouge2": 7.0766,
|
292 |
+
"eval_rougeL": 13.3911,
|
293 |
+
"eval_rougeLsum": 13.3971,
|
294 |
+
"eval_runtime": 1615.8665,
|
295 |
+
"eval_samples_per_second": 28.969,
|
296 |
+
"eval_steps_per_second": 3.622,
|
297 |
+
"step": 23405
|
298 |
+
},
|
299 |
+
{
|
300 |
+
"epoch": 1.0,
|
301 |
+
"learning_rate": 3.744926297799616e-05,
|
302 |
+
"loss": 1.7477,
|
303 |
+
"step": 23500
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 1.03,
|
307 |
+
"learning_rate": 3.718222602008118e-05,
|
308 |
+
"loss": 1.7099,
|
309 |
+
"step": 24000
|
310 |
+
},
|
311 |
+
{
|
312 |
+
"epoch": 1.05,
|
313 |
+
"learning_rate": 3.6915189062166206e-05,
|
314 |
+
"loss": 1.7081,
|
315 |
+
"step": 24500
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 1.07,
|
319 |
+
"learning_rate": 3.664815210425123e-05,
|
320 |
+
"loss": 1.7086,
|
321 |
+
"step": 25000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 1.09,
|
325 |
+
"learning_rate": 3.6381115146336255e-05,
|
326 |
+
"loss": 1.6554,
|
327 |
+
"step": 25500
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 1.11,
|
331 |
+
"learning_rate": 3.611407818842128e-05,
|
332 |
+
"loss": 1.6971,
|
333 |
+
"step": 26000
|
334 |
+
},
|
335 |
+
{
|
336 |
+
"epoch": 1.13,
|
337 |
+
"learning_rate": 3.5847041230506304e-05,
|
338 |
+
"loss": 1.6616,
|
339 |
+
"step": 26500
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 1.15,
|
343 |
+
"learning_rate": 3.558000427259133e-05,
|
344 |
+
"loss": 1.6644,
|
345 |
+
"step": 27000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 1.17,
|
349 |
+
"learning_rate": 3.5312967314676354e-05,
|
350 |
+
"loss": 1.6301,
|
351 |
+
"step": 27500
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 1.2,
|
355 |
+
"learning_rate": 3.504593035676138e-05,
|
356 |
+
"loss": 1.638,
|
357 |
+
"step": 28000
|
358 |
+
},
|
359 |
+
{
|
360 |
+
"epoch": 1.22,
|
361 |
+
"learning_rate": 3.47788933988464e-05,
|
362 |
+
"loss": 1.6436,
|
363 |
+
"step": 28500
|
364 |
+
},
|
365 |
+
{
|
366 |
+
"epoch": 1.24,
|
367 |
+
"learning_rate": 3.451185644093143e-05,
|
368 |
+
"loss": 1.6214,
|
369 |
+
"step": 29000
|
370 |
+
},
|
371 |
+
{
|
372 |
+
"epoch": 1.26,
|
373 |
+
"learning_rate": 3.424481948301645e-05,
|
374 |
+
"loss": 1.5978,
|
375 |
+
"step": 29500
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.28,
|
379 |
+
"learning_rate": 3.3977782525101476e-05,
|
380 |
+
"loss": 1.5972,
|
381 |
+
"step": 30000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.3,
|
385 |
+
"learning_rate": 3.37107455671865e-05,
|
386 |
+
"loss": 1.6007,
|
387 |
+
"step": 30500
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 1.32,
|
391 |
+
"learning_rate": 3.3443708609271526e-05,
|
392 |
+
"loss": 1.5834,
|
393 |
+
"step": 31000
|
394 |
+
},
|
395 |
+
{
|
396 |
+
"epoch": 1.35,
|
397 |
+
"learning_rate": 3.317667165135655e-05,
|
398 |
+
"loss": 1.5915,
|
399 |
+
"step": 31500
|
400 |
+
},
|
401 |
+
{
|
402 |
+
"epoch": 1.37,
|
403 |
+
"learning_rate": 3.290963469344157e-05,
|
404 |
+
"loss": 1.5525,
|
405 |
+
"step": 32000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.39,
|
409 |
+
"learning_rate": 3.26425977355266e-05,
|
410 |
+
"loss": 1.546,
|
411 |
+
"step": 32500
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.41,
|
415 |
+
"learning_rate": 3.2375560777611624e-05,
|
416 |
+
"loss": 1.5355,
|
417 |
+
"step": 33000
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 1.43,
|
421 |
+
"learning_rate": 3.210852381969665e-05,
|
422 |
+
"loss": 1.5136,
|
423 |
+
"step": 33500
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 1.45,
|
427 |
+
"learning_rate": 3.184148686178167e-05,
|
428 |
+
"loss": 1.5422,
|
429 |
+
"step": 34000
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 1.47,
|
433 |
+
"learning_rate": 3.15744499038667e-05,
|
434 |
+
"loss": 1.5073,
|
435 |
+
"step": 34500
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.5,
|
439 |
+
"learning_rate": 3.130741294595172e-05,
|
440 |
+
"loss": 1.4878,
|
441 |
+
"step": 35000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.52,
|
445 |
+
"learning_rate": 3.104037598803675e-05,
|
446 |
+
"loss": 1.5078,
|
447 |
+
"step": 35500
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 1.54,
|
451 |
+
"learning_rate": 3.077333903012177e-05,
|
452 |
+
"loss": 1.5254,
|
453 |
+
"step": 36000
|
454 |
+
},
|
455 |
+
{
|
456 |
+
"epoch": 1.56,
|
457 |
+
"learning_rate": 3.0506302072206792e-05,
|
458 |
+
"loss": 1.4822,
|
459 |
+
"step": 36500
|
460 |
+
},
|
461 |
+
{
|
462 |
+
"epoch": 1.58,
|
463 |
+
"learning_rate": 3.023926511429182e-05,
|
464 |
+
"loss": 1.4692,
|
465 |
+
"step": 37000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.6,
|
469 |
+
"learning_rate": 2.997222815637684e-05,
|
470 |
+
"loss": 1.4699,
|
471 |
+
"step": 37500
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.62,
|
475 |
+
"learning_rate": 2.970519119846187e-05,
|
476 |
+
"loss": 1.5252,
|
477 |
+
"step": 38000
|
478 |
+
},
|
479 |
+
{
|
480 |
+
"epoch": 1.64,
|
481 |
+
"learning_rate": 2.9438154240546894e-05,
|
482 |
+
"loss": 1.476,
|
483 |
+
"step": 38500
|
484 |
+
},
|
485 |
+
{
|
486 |
+
"epoch": 1.67,
|
487 |
+
"learning_rate": 2.9171117282631915e-05,
|
488 |
+
"loss": 1.4817,
|
489 |
+
"step": 39000
|
490 |
+
},
|
491 |
+
{
|
492 |
+
"epoch": 1.69,
|
493 |
+
"learning_rate": 2.8904080324716943e-05,
|
494 |
+
"loss": 1.4274,
|
495 |
+
"step": 39500
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 1.71,
|
499 |
+
"learning_rate": 2.8637043366801968e-05,
|
500 |
+
"loss": 1.4528,
|
501 |
+
"step": 40000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.73,
|
505 |
+
"learning_rate": 2.837000640888699e-05,
|
506 |
+
"loss": 1.4375,
|
507 |
+
"step": 40500
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 1.75,
|
511 |
+
"learning_rate": 2.8102969450972017e-05,
|
512 |
+
"loss": 1.4036,
|
513 |
+
"step": 41000
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 1.77,
|
517 |
+
"learning_rate": 2.783593249305704e-05,
|
518 |
+
"loss": 1.38,
|
519 |
+
"step": 41500
|
520 |
+
},
|
521 |
+
{
|
522 |
+
"epoch": 1.79,
|
523 |
+
"learning_rate": 2.7568895535142063e-05,
|
524 |
+
"loss": 1.4489,
|
525 |
+
"step": 42000
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.82,
|
529 |
+
"learning_rate": 2.730185857722709e-05,
|
530 |
+
"loss": 1.3985,
|
531 |
+
"step": 42500
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.84,
|
535 |
+
"learning_rate": 2.7034821619312112e-05,
|
536 |
+
"loss": 1.4323,
|
537 |
+
"step": 43000
|
538 |
+
},
|
539 |
+
{
|
540 |
+
"epoch": 1.86,
|
541 |
+
"learning_rate": 2.676778466139714e-05,
|
542 |
+
"loss": 1.4051,
|
543 |
+
"step": 43500
|
544 |
+
},
|
545 |
+
{
|
546 |
+
"epoch": 1.88,
|
547 |
+
"learning_rate": 2.6500747703482164e-05,
|
548 |
+
"loss": 1.3908,
|
549 |
+
"step": 44000
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 1.9,
|
553 |
+
"learning_rate": 2.6233710745567186e-05,
|
554 |
+
"loss": 1.3892,
|
555 |
+
"step": 44500
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.92,
|
559 |
+
"learning_rate": 2.5966673787652213e-05,
|
560 |
+
"loss": 1.3936,
|
561 |
+
"step": 45000
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 1.94,
|
565 |
+
"learning_rate": 2.5699636829737238e-05,
|
566 |
+
"loss": 1.4004,
|
567 |
+
"step": 45500
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 1.97,
|
571 |
+
"learning_rate": 2.543259987182226e-05,
|
572 |
+
"loss": 1.3838,
|
573 |
+
"step": 46000
|
574 |
+
},
|
575 |
+
{
|
576 |
+
"epoch": 1.99,
|
577 |
+
"learning_rate": 2.5165562913907287e-05,
|
578 |
+
"loss": 1.3756,
|
579 |
+
"step": 46500
|
580 |
+
},
|
581 |
+
{
|
582 |
+
"epoch": 2.0,
|
583 |
+
"eval_gen_len": 10.362208929715873,
|
584 |
+
"eval_loss": 1.0369791984558105,
|
585 |
+
"eval_rouge1": 21.6305,
|
586 |
+
"eval_rouge2": 14.527,
|
587 |
+
"eval_rougeL": 21.4438,
|
588 |
+
"eval_rougeLsum": 21.4536,
|
589 |
+
"eval_runtime": 1661.185,
|
590 |
+
"eval_samples_per_second": 28.179,
|
591 |
+
"eval_steps_per_second": 3.523,
|
592 |
+
"step": 46810
|
593 |
+
},
|
594 |
+
{
|
595 |
+
"epoch": 2.01,
|
596 |
+
"learning_rate": 2.4898525955992312e-05,
|
597 |
+
"loss": 1.3742,
|
598 |
+
"step": 47000
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 2.03,
|
602 |
+
"learning_rate": 2.4631488998077333e-05,
|
603 |
+
"loss": 1.3323,
|
604 |
+
"step": 47500
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 2.05,
|
608 |
+
"learning_rate": 2.4364452040162358e-05,
|
609 |
+
"loss": 1.3481,
|
610 |
+
"step": 48000
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 2.07,
|
614 |
+
"learning_rate": 2.4097415082247385e-05,
|
615 |
+
"loss": 1.3529,
|
616 |
+
"step": 48500
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 2.09,
|
620 |
+
"learning_rate": 2.383037812433241e-05,
|
621 |
+
"loss": 1.3385,
|
622 |
+
"step": 49000
|
623 |
+
},
|
624 |
+
{
|
625 |
+
"epoch": 2.11,
|
626 |
+
"learning_rate": 2.356334116641743e-05,
|
627 |
+
"loss": 1.3378,
|
628 |
+
"step": 49500
|
629 |
+
},
|
630 |
+
{
|
631 |
+
"epoch": 2.14,
|
632 |
+
"learning_rate": 2.329630420850246e-05,
|
633 |
+
"loss": 1.3214,
|
634 |
+
"step": 50000
|
635 |
+
},
|
636 |
+
{
|
637 |
+
"epoch": 2.16,
|
638 |
+
"learning_rate": 2.3029267250587484e-05,
|
639 |
+
"loss": 1.3214,
|
640 |
+
"step": 50500
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 2.18,
|
644 |
+
"learning_rate": 2.2762230292672508e-05,
|
645 |
+
"loss": 1.3032,
|
646 |
+
"step": 51000
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 2.2,
|
650 |
+
"learning_rate": 2.249519333475753e-05,
|
651 |
+
"loss": 1.3152,
|
652 |
+
"step": 51500
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 2.22,
|
656 |
+
"learning_rate": 2.2228156376842557e-05,
|
657 |
+
"loss": 1.3169,
|
658 |
+
"step": 52000
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 2.24,
|
662 |
+
"learning_rate": 2.1961119418927582e-05,
|
663 |
+
"loss": 1.3132,
|
664 |
+
"step": 52500
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 2.26,
|
668 |
+
"learning_rate": 2.1694082461012603e-05,
|
669 |
+
"loss": 1.3171,
|
670 |
+
"step": 53000
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 2.29,
|
674 |
+
"learning_rate": 2.1427045503097628e-05,
|
675 |
+
"loss": 1.2979,
|
676 |
+
"step": 53500
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 2.31,
|
680 |
+
"learning_rate": 2.1160008545182656e-05,
|
681 |
+
"loss": 1.3013,
|
682 |
+
"step": 54000
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 2.33,
|
686 |
+
"learning_rate": 2.089297158726768e-05,
|
687 |
+
"loss": 1.3067,
|
688 |
+
"step": 54500
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 2.35,
|
692 |
+
"learning_rate": 2.06259346293527e-05,
|
693 |
+
"loss": 1.3199,
|
694 |
+
"step": 55000
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 2.37,
|
698 |
+
"learning_rate": 2.0358897671437726e-05,
|
699 |
+
"loss": 1.2876,
|
700 |
+
"step": 55500
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 2.39,
|
704 |
+
"learning_rate": 2.0091860713522754e-05,
|
705 |
+
"loss": 1.2876,
|
706 |
+
"step": 56000
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 2.41,
|
710 |
+
"learning_rate": 1.982482375560778e-05,
|
711 |
+
"loss": 1.2703,
|
712 |
+
"step": 56500
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 2.44,
|
716 |
+
"learning_rate": 1.95577867976928e-05,
|
717 |
+
"loss": 1.2641,
|
718 |
+
"step": 57000
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 2.46,
|
722 |
+
"learning_rate": 1.9290749839777828e-05,
|
723 |
+
"loss": 1.2976,
|
724 |
+
"step": 57500
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 2.48,
|
728 |
+
"learning_rate": 1.9023712881862852e-05,
|
729 |
+
"loss": 1.2577,
|
730 |
+
"step": 58000
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 2.5,
|
734 |
+
"learning_rate": 1.8756675923947873e-05,
|
735 |
+
"loss": 1.2925,
|
736 |
+
"step": 58500
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 2.52,
|
740 |
+
"learning_rate": 1.8489638966032898e-05,
|
741 |
+
"loss": 1.2686,
|
742 |
+
"step": 59000
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 2.54,
|
746 |
+
"learning_rate": 1.8222602008117926e-05,
|
747 |
+
"loss": 1.273,
|
748 |
+
"step": 59500
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 2.56,
|
752 |
+
"learning_rate": 1.795556505020295e-05,
|
753 |
+
"loss": 1.2604,
|
754 |
+
"step": 60000
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 2.58,
|
758 |
+
"learning_rate": 1.768852809228797e-05,
|
759 |
+
"loss": 1.265,
|
760 |
+
"step": 60500
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 2.61,
|
764 |
+
"learning_rate": 1.7421491134372996e-05,
|
765 |
+
"loss": 1.2653,
|
766 |
+
"step": 61000
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 2.63,
|
770 |
+
"learning_rate": 1.7154454176458024e-05,
|
771 |
+
"loss": 1.2241,
|
772 |
+
"step": 61500
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 2.65,
|
776 |
+
"learning_rate": 1.688741721854305e-05,
|
777 |
+
"loss": 1.233,
|
778 |
+
"step": 62000
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 2.67,
|
782 |
+
"learning_rate": 1.662038026062807e-05,
|
783 |
+
"loss": 1.2328,
|
784 |
+
"step": 62500
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 2.69,
|
788 |
+
"learning_rate": 1.6353343302713095e-05,
|
789 |
+
"loss": 1.2456,
|
790 |
+
"step": 63000
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 2.71,
|
794 |
+
"learning_rate": 1.6086306344798122e-05,
|
795 |
+
"loss": 1.2269,
|
796 |
+
"step": 63500
|
797 |
+
},
|
798 |
+
{
|
799 |
+
"epoch": 2.73,
|
800 |
+
"learning_rate": 1.5819269386883147e-05,
|
801 |
+
"loss": 1.2386,
|
802 |
+
"step": 64000
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 2.76,
|
806 |
+
"learning_rate": 1.5552232428968168e-05,
|
807 |
+
"loss": 1.2462,
|
808 |
+
"step": 64500
|
809 |
+
},
|
810 |
+
{
|
811 |
+
"epoch": 2.78,
|
812 |
+
"learning_rate": 1.5285195471053196e-05,
|
813 |
+
"loss": 1.2436,
|
814 |
+
"step": 65000
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 2.8,
|
818 |
+
"learning_rate": 1.5018158513138219e-05,
|
819 |
+
"loss": 1.2263,
|
820 |
+
"step": 65500
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 2.82,
|
824 |
+
"learning_rate": 1.4751121555223244e-05,
|
825 |
+
"loss": 1.2415,
|
826 |
+
"step": 66000
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 2.84,
|
830 |
+
"learning_rate": 1.4484084597308267e-05,
|
831 |
+
"loss": 1.256,
|
832 |
+
"step": 66500
|
833 |
+
},
|
834 |
+
{
|
835 |
+
"epoch": 2.86,
|
836 |
+
"learning_rate": 1.4217047639393294e-05,
|
837 |
+
"loss": 1.2272,
|
838 |
+
"step": 67000
|
839 |
+
},
|
840 |
+
{
|
841 |
+
"epoch": 2.88,
|
842 |
+
"learning_rate": 1.3950010681478317e-05,
|
843 |
+
"loss": 1.2169,
|
844 |
+
"step": 67500
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 2.91,
|
848 |
+
"learning_rate": 1.3682973723563342e-05,
|
849 |
+
"loss": 1.2149,
|
850 |
+
"step": 68000
|
851 |
+
},
|
852 |
+
{
|
853 |
+
"epoch": 2.93,
|
854 |
+
"learning_rate": 1.3415936765648365e-05,
|
855 |
+
"loss": 1.2085,
|
856 |
+
"step": 68500
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 2.95,
|
860 |
+
"learning_rate": 1.3148899807733393e-05,
|
861 |
+
"loss": 1.2077,
|
862 |
+
"step": 69000
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 2.97,
|
866 |
+
"learning_rate": 1.2881862849818416e-05,
|
867 |
+
"loss": 1.2123,
|
868 |
+
"step": 69500
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 2.99,
|
872 |
+
"learning_rate": 1.261482589190344e-05,
|
873 |
+
"loss": 1.2093,
|
874 |
+
"step": 70000
|
875 |
+
},
|
876 |
+
{
|
877 |
+
"epoch": 3.0,
|
878 |
+
"eval_gen_len": 9.954048280281992,
|
879 |
+
"eval_loss": 0.9058317542076111,
|
880 |
+
"eval_rouge1": 26.5379,
|
881 |
+
"eval_rouge2": 19.0017,
|
882 |
+
"eval_rougeL": 26.3586,
|
883 |
+
"eval_rougeLsum": 26.3719,
|
884 |
+
"eval_runtime": 1636.659,
|
885 |
+
"eval_samples_per_second": 28.601,
|
886 |
+
"eval_steps_per_second": 3.576,
|
887 |
+
"step": 70215
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"epoch": 3.01,
|
891 |
+
"learning_rate": 1.2347788933988465e-05,
|
892 |
+
"loss": 1.203,
|
893 |
+
"step": 70500
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 3.03,
|
897 |
+
"learning_rate": 1.208075197607349e-05,
|
898 |
+
"loss": 1.2175,
|
899 |
+
"step": 71000
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 3.05,
|
903 |
+
"learning_rate": 1.1813715018158514e-05,
|
904 |
+
"loss": 1.2061,
|
905 |
+
"step": 71500
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 3.08,
|
909 |
+
"learning_rate": 1.1546678060243538e-05,
|
910 |
+
"loss": 1.1981,
|
911 |
+
"step": 72000
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 3.1,
|
915 |
+
"learning_rate": 1.1279641102328563e-05,
|
916 |
+
"loss": 1.1797,
|
917 |
+
"step": 72500
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 3.12,
|
921 |
+
"learning_rate": 1.1012604144413588e-05,
|
922 |
+
"loss": 1.1568,
|
923 |
+
"step": 73000
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 3.14,
|
927 |
+
"learning_rate": 1.0745567186498612e-05,
|
928 |
+
"loss": 1.1953,
|
929 |
+
"step": 73500
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 3.16,
|
933 |
+
"learning_rate": 1.0478530228583637e-05,
|
934 |
+
"loss": 1.1627,
|
935 |
+
"step": 74000
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 3.18,
|
939 |
+
"learning_rate": 1.0211493270668661e-05,
|
940 |
+
"loss": 1.1778,
|
941 |
+
"step": 74500
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 3.2,
|
945 |
+
"learning_rate": 9.944456312753686e-06,
|
946 |
+
"loss": 1.172,
|
947 |
+
"step": 75000
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 3.23,
|
951 |
+
"learning_rate": 9.67741935483871e-06,
|
952 |
+
"loss": 1.1784,
|
953 |
+
"step": 75500
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 3.25,
|
957 |
+
"learning_rate": 9.410382396923735e-06,
|
958 |
+
"loss": 1.1874,
|
959 |
+
"step": 76000
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 3.27,
|
963 |
+
"learning_rate": 9.14334543900876e-06,
|
964 |
+
"loss": 1.1623,
|
965 |
+
"step": 76500
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 3.29,
|
969 |
+
"learning_rate": 8.876308481093784e-06,
|
970 |
+
"loss": 1.1969,
|
971 |
+
"step": 77000
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 3.31,
|
975 |
+
"learning_rate": 8.609271523178809e-06,
|
976 |
+
"loss": 1.1816,
|
977 |
+
"step": 77500
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 3.33,
|
981 |
+
"learning_rate": 8.342234565263833e-06,
|
982 |
+
"loss": 1.1534,
|
983 |
+
"step": 78000
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 3.35,
|
987 |
+
"learning_rate": 8.075197607348856e-06,
|
988 |
+
"loss": 1.1889,
|
989 |
+
"step": 78500
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 3.38,
|
993 |
+
"learning_rate": 7.808160649433882e-06,
|
994 |
+
"loss": 1.1786,
|
995 |
+
"step": 79000
|
996 |
+
},
|
997 |
+
{
|
998 |
+
"epoch": 3.4,
|
999 |
+
"learning_rate": 7.541123691518906e-06,
|
1000 |
+
"loss": 1.1621,
|
1001 |
+
"step": 79500
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 3.42,
|
1005 |
+
"learning_rate": 7.2740867336039315e-06,
|
1006 |
+
"loss": 1.1692,
|
1007 |
+
"step": 80000
|
1008 |
+
},
|
1009 |
+
{
|
1010 |
+
"epoch": 3.44,
|
1011 |
+
"learning_rate": 7.007049775688956e-06,
|
1012 |
+
"loss": 1.1789,
|
1013 |
+
"step": 80500
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 3.46,
|
1017 |
+
"learning_rate": 6.74001281777398e-06,
|
1018 |
+
"loss": 1.1925,
|
1019 |
+
"step": 81000
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 3.48,
|
1023 |
+
"learning_rate": 6.472975859859005e-06,
|
1024 |
+
"loss": 1.1847,
|
1025 |
+
"step": 81500
|
1026 |
+
},
|
1027 |
+
{
|
1028 |
+
"epoch": 3.5,
|
1029 |
+
"learning_rate": 6.205938901944029e-06,
|
1030 |
+
"loss": 1.1495,
|
1031 |
+
"step": 82000
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 3.52,
|
1035 |
+
"learning_rate": 5.9389019440290535e-06,
|
1036 |
+
"loss": 1.1631,
|
1037 |
+
"step": 82500
|
1038 |
+
},
|
1039 |
+
{
|
1040 |
+
"epoch": 3.55,
|
1041 |
+
"learning_rate": 5.671864986114078e-06,
|
1042 |
+
"loss": 1.2052,
|
1043 |
+
"step": 83000
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 3.57,
|
1047 |
+
"learning_rate": 5.404828028199103e-06,
|
1048 |
+
"loss": 1.1773,
|
1049 |
+
"step": 83500
|
1050 |
+
},
|
1051 |
+
{
|
1052 |
+
"epoch": 3.59,
|
1053 |
+
"learning_rate": 5.137791070284127e-06,
|
1054 |
+
"loss": 1.1574,
|
1055 |
+
"step": 84000
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 3.61,
|
1059 |
+
"learning_rate": 4.870754112369153e-06,
|
1060 |
+
"loss": 1.1516,
|
1061 |
+
"step": 84500
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 3.63,
|
1065 |
+
"learning_rate": 4.603717154454177e-06,
|
1066 |
+
"loss": 1.1736,
|
1067 |
+
"step": 85000
|
1068 |
+
},
|
1069 |
+
{
|
1070 |
+
"epoch": 3.65,
|
1071 |
+
"learning_rate": 4.336680196539202e-06,
|
1072 |
+
"loss": 1.1511,
|
1073 |
+
"step": 85500
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 3.67,
|
1077 |
+
"learning_rate": 4.069643238624226e-06,
|
1078 |
+
"loss": 1.1277,
|
1079 |
+
"step": 86000
|
1080 |
+
},
|
1081 |
+
{
|
1082 |
+
"epoch": 3.7,
|
1083 |
+
"learning_rate": 3.8026062807092505e-06,
|
1084 |
+
"loss": 1.1425,
|
1085 |
+
"step": 86500
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 3.72,
|
1089 |
+
"learning_rate": 3.535569322794275e-06,
|
1090 |
+
"loss": 1.1848,
|
1091 |
+
"step": 87000
|
1092 |
+
},
|
1093 |
+
{
|
1094 |
+
"epoch": 3.74,
|
1095 |
+
"learning_rate": 3.2685323648792996e-06,
|
1096 |
+
"loss": 1.149,
|
1097 |
+
"step": 87500
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 3.76,
|
1101 |
+
"learning_rate": 3.001495406964324e-06,
|
1102 |
+
"loss": 1.1535,
|
1103 |
+
"step": 88000
|
1104 |
+
},
|
1105 |
+
{
|
1106 |
+
"epoch": 3.78,
|
1107 |
+
"learning_rate": 2.7344584490493487e-06,
|
1108 |
+
"loss": 1.1594,
|
1109 |
+
"step": 88500
|
1110 |
+
},
|
1111 |
+
{
|
1112 |
+
"epoch": 3.8,
|
1113 |
+
"learning_rate": 2.467421491134373e-06,
|
1114 |
+
"loss": 1.1756,
|
1115 |
+
"step": 89000
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 3.82,
|
1119 |
+
"learning_rate": 2.2003845332193975e-06,
|
1120 |
+
"loss": 1.1691,
|
1121 |
+
"step": 89500
|
1122 |
+
},
|
1123 |
+
{
|
1124 |
+
"epoch": 3.85,
|
1125 |
+
"learning_rate": 1.933347575304422e-06,
|
1126 |
+
"loss": 1.1526,
|
1127 |
+
"step": 90000
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 3.87,
|
1131 |
+
"learning_rate": 1.666310617389447e-06,
|
1132 |
+
"loss": 1.1633,
|
1133 |
+
"step": 90500
|
1134 |
+
},
|
1135 |
+
{
|
1136 |
+
"epoch": 3.89,
|
1137 |
+
"learning_rate": 1.3992736594744714e-06,
|
1138 |
+
"loss": 1.1563,
|
1139 |
+
"step": 91000
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 3.91,
|
1143 |
+
"learning_rate": 1.132236701559496e-06,
|
1144 |
+
"loss": 1.1448,
|
1145 |
+
"step": 91500
|
1146 |
+
},
|
1147 |
+
{
|
1148 |
+
"epoch": 3.93,
|
1149 |
+
"learning_rate": 8.651997436445205e-07,
|
1150 |
+
"loss": 1.1857,
|
1151 |
+
"step": 92000
|
1152 |
+
},
|
1153 |
+
{
|
1154 |
+
"epoch": 3.95,
|
1155 |
+
"learning_rate": 5.98162785729545e-07,
|
1156 |
+
"loss": 1.1477,
|
1157 |
+
"step": 92500
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 3.97,
|
1161 |
+
"learning_rate": 3.3112582781456954e-07,
|
1162 |
+
"loss": 1.1724,
|
1163 |
+
"step": 93000
|
1164 |
+
},
|
1165 |
+
{
|
1166 |
+
"epoch": 3.99,
|
1167 |
+
"learning_rate": 6.408886989959411e-08,
|
1168 |
+
"loss": 1.1404,
|
1169 |
+
"step": 93500
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 4.0,
|
1173 |
+
"eval_gen_len": 9.971416364024781,
|
1174 |
+
"eval_loss": 0.8677980303764343,
|
1175 |
+
"eval_rouge1": 28.2457,
|
1176 |
+
"eval_rouge2": 20.4786,
|
1177 |
+
"eval_rougeL": 28.0552,
|
1178 |
+
"eval_rougeLsum": 28.0753,
|
1179 |
+
"eval_runtime": 1600.8029,
|
1180 |
+
"eval_samples_per_second": 29.242,
|
1181 |
+
"eval_steps_per_second": 3.656,
|
1182 |
+
"step": 93620
|
1183 |
+
}
|
1184 |
+
],
|
1185 |
+
"max_steps": 93620,
|
1186 |
+
"num_train_epochs": 4,
|
1187 |
+
"total_flos": 1.305230178779136e+16,
|
1188 |
+
"trial_name": null,
|
1189 |
+
"trial_params": null
|
1190 |
+
}
|
checkpoint-93620/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:6b60b9e2fc63b431e182348795f85d6c9b1c879a51e45d10fb6ca306f20f4ce2
|
3 |
+
size 4091
|
logs/events.out.tfevents.1691051711.f1837383dfd0.2726.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9fe41f454211f1c6e19ae1e8ea21bfa49de9a5391bdfc29602992082eb29e1e8
|
3 |
+
size 37338
|
logs/events.out.tfevents.1691068757.f1837383dfd0.2726.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1f67670749993e26c6dc7e67a7cb9588bde8020da0a7e4c5d84ce50858e7db35
|
3 |
+
size 5042
|
special_tokens_map.json
ADDED
@@ -0,0 +1,107 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<extra_id_0>",
|
4 |
+
"<extra_id_1>",
|
5 |
+
"<extra_id_2>",
|
6 |
+
"<extra_id_3>",
|
7 |
+
"<extra_id_4>",
|
8 |
+
"<extra_id_5>",
|
9 |
+
"<extra_id_6>",
|
10 |
+
"<extra_id_7>",
|
11 |
+
"<extra_id_8>",
|
12 |
+
"<extra_id_9>",
|
13 |
+
"<extra_id_10>",
|
14 |
+
"<extra_id_11>",
|
15 |
+
"<extra_id_12>",
|
16 |
+
"<extra_id_13>",
|
17 |
+
"<extra_id_14>",
|
18 |
+
"<extra_id_15>",
|
19 |
+
"<extra_id_16>",
|
20 |
+
"<extra_id_17>",
|
21 |
+
"<extra_id_18>",
|
22 |
+
"<extra_id_19>",
|
23 |
+
"<extra_id_20>",
|
24 |
+
"<extra_id_21>",
|
25 |
+
"<extra_id_22>",
|
26 |
+
"<extra_id_23>",
|
27 |
+
"<extra_id_24>",
|
28 |
+
"<extra_id_25>",
|
29 |
+
"<extra_id_26>",
|
30 |
+
"<extra_id_27>",
|
31 |
+
"<extra_id_28>",
|
32 |
+
"<extra_id_29>",
|
33 |
+
"<extra_id_30>",
|
34 |
+
"<extra_id_31>",
|
35 |
+
"<extra_id_32>",
|
36 |
+
"<extra_id_33>",
|
37 |
+
"<extra_id_34>",
|
38 |
+
"<extra_id_35>",
|
39 |
+
"<extra_id_36>",
|
40 |
+
"<extra_id_37>",
|
41 |
+
"<extra_id_38>",
|
42 |
+
"<extra_id_39>",
|
43 |
+
"<extra_id_40>",
|
44 |
+
"<extra_id_41>",
|
45 |
+
"<extra_id_42>",
|
46 |
+
"<extra_id_43>",
|
47 |
+
"<extra_id_44>",
|
48 |
+
"<extra_id_45>",
|
49 |
+
"<extra_id_46>",
|
50 |
+
"<extra_id_47>",
|
51 |
+
"<extra_id_48>",
|
52 |
+
"<extra_id_49>",
|
53 |
+
"<extra_id_50>",
|
54 |
+
"<extra_id_51>",
|
55 |
+
"<extra_id_52>",
|
56 |
+
"<extra_id_53>",
|
57 |
+
"<extra_id_54>",
|
58 |
+
"<extra_id_55>",
|
59 |
+
"<extra_id_56>",
|
60 |
+
"<extra_id_57>",
|
61 |
+
"<extra_id_58>",
|
62 |
+
"<extra_id_59>",
|
63 |
+
"<extra_id_60>",
|
64 |
+
"<extra_id_61>",
|
65 |
+
"<extra_id_62>",
|
66 |
+
"<extra_id_63>",
|
67 |
+
"<extra_id_64>",
|
68 |
+
"<extra_id_65>",
|
69 |
+
"<extra_id_66>",
|
70 |
+
"<extra_id_67>",
|
71 |
+
"<extra_id_68>",
|
72 |
+
"<extra_id_69>",
|
73 |
+
"<extra_id_70>",
|
74 |
+
"<extra_id_71>",
|
75 |
+
"<extra_id_72>",
|
76 |
+
"<extra_id_73>",
|
77 |
+
"<extra_id_74>",
|
78 |
+
"<extra_id_75>",
|
79 |
+
"<extra_id_76>",
|
80 |
+
"<extra_id_77>",
|
81 |
+
"<extra_id_78>",
|
82 |
+
"<extra_id_79>",
|
83 |
+
"<extra_id_80>",
|
84 |
+
"<extra_id_81>",
|
85 |
+
"<extra_id_82>",
|
86 |
+
"<extra_id_83>",
|
87 |
+
"<extra_id_84>",
|
88 |
+
"<extra_id_85>",
|
89 |
+
"<extra_id_86>",
|
90 |
+
"<extra_id_87>",
|
91 |
+
"<extra_id_88>",
|
92 |
+
"<extra_id_89>",
|
93 |
+
"<extra_id_90>",
|
94 |
+
"<extra_id_91>",
|
95 |
+
"<extra_id_92>",
|
96 |
+
"<extra_id_93>",
|
97 |
+
"<extra_id_94>",
|
98 |
+
"<extra_id_95>",
|
99 |
+
"<extra_id_96>",
|
100 |
+
"<extra_id_97>",
|
101 |
+
"<extra_id_98>",
|
102 |
+
"<extra_id_99>"
|
103 |
+
],
|
104 |
+
"eos_token": "</s>",
|
105 |
+
"pad_token": "<pad>",
|
106 |
+
"unk_token": "<unk>"
|
107 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,112 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
"<extra_id_0>",
|
4 |
+
"<extra_id_1>",
|
5 |
+
"<extra_id_2>",
|
6 |
+
"<extra_id_3>",
|
7 |
+
"<extra_id_4>",
|
8 |
+
"<extra_id_5>",
|
9 |
+
"<extra_id_6>",
|
10 |
+
"<extra_id_7>",
|
11 |
+
"<extra_id_8>",
|
12 |
+
"<extra_id_9>",
|
13 |
+
"<extra_id_10>",
|
14 |
+
"<extra_id_11>",
|
15 |
+
"<extra_id_12>",
|
16 |
+
"<extra_id_13>",
|
17 |
+
"<extra_id_14>",
|
18 |
+
"<extra_id_15>",
|
19 |
+
"<extra_id_16>",
|
20 |
+
"<extra_id_17>",
|
21 |
+
"<extra_id_18>",
|
22 |
+
"<extra_id_19>",
|
23 |
+
"<extra_id_20>",
|
24 |
+
"<extra_id_21>",
|
25 |
+
"<extra_id_22>",
|
26 |
+
"<extra_id_23>",
|
27 |
+
"<extra_id_24>",
|
28 |
+
"<extra_id_25>",
|
29 |
+
"<extra_id_26>",
|
30 |
+
"<extra_id_27>",
|
31 |
+
"<extra_id_28>",
|
32 |
+
"<extra_id_29>",
|
33 |
+
"<extra_id_30>",
|
34 |
+
"<extra_id_31>",
|
35 |
+
"<extra_id_32>",
|
36 |
+
"<extra_id_33>",
|
37 |
+
"<extra_id_34>",
|
38 |
+
"<extra_id_35>",
|
39 |
+
"<extra_id_36>",
|
40 |
+
"<extra_id_37>",
|
41 |
+
"<extra_id_38>",
|
42 |
+
"<extra_id_39>",
|
43 |
+
"<extra_id_40>",
|
44 |
+
"<extra_id_41>",
|
45 |
+
"<extra_id_42>",
|
46 |
+
"<extra_id_43>",
|
47 |
+
"<extra_id_44>",
|
48 |
+
"<extra_id_45>",
|
49 |
+
"<extra_id_46>",
|
50 |
+
"<extra_id_47>",
|
51 |
+
"<extra_id_48>",
|
52 |
+
"<extra_id_49>",
|
53 |
+
"<extra_id_50>",
|
54 |
+
"<extra_id_51>",
|
55 |
+
"<extra_id_52>",
|
56 |
+
"<extra_id_53>",
|
57 |
+
"<extra_id_54>",
|
58 |
+
"<extra_id_55>",
|
59 |
+
"<extra_id_56>",
|
60 |
+
"<extra_id_57>",
|
61 |
+
"<extra_id_58>",
|
62 |
+
"<extra_id_59>",
|
63 |
+
"<extra_id_60>",
|
64 |
+
"<extra_id_61>",
|
65 |
+
"<extra_id_62>",
|
66 |
+
"<extra_id_63>",
|
67 |
+
"<extra_id_64>",
|
68 |
+
"<extra_id_65>",
|
69 |
+
"<extra_id_66>",
|
70 |
+
"<extra_id_67>",
|
71 |
+
"<extra_id_68>",
|
72 |
+
"<extra_id_69>",
|
73 |
+
"<extra_id_70>",
|
74 |
+
"<extra_id_71>",
|
75 |
+
"<extra_id_72>",
|
76 |
+
"<extra_id_73>",
|
77 |
+
"<extra_id_74>",
|
78 |
+
"<extra_id_75>",
|
79 |
+
"<extra_id_76>",
|
80 |
+
"<extra_id_77>",
|
81 |
+
"<extra_id_78>",
|
82 |
+
"<extra_id_79>",
|
83 |
+
"<extra_id_80>",
|
84 |
+
"<extra_id_81>",
|
85 |
+
"<extra_id_82>",
|
86 |
+
"<extra_id_83>",
|
87 |
+
"<extra_id_84>",
|
88 |
+
"<extra_id_85>",
|
89 |
+
"<extra_id_86>",
|
90 |
+
"<extra_id_87>",
|
91 |
+
"<extra_id_88>",
|
92 |
+
"<extra_id_89>",
|
93 |
+
"<extra_id_90>",
|
94 |
+
"<extra_id_91>",
|
95 |
+
"<extra_id_92>",
|
96 |
+
"<extra_id_93>",
|
97 |
+
"<extra_id_94>",
|
98 |
+
"<extra_id_95>",
|
99 |
+
"<extra_id_96>",
|
100 |
+
"<extra_id_97>",
|
101 |
+
"<extra_id_98>",
|
102 |
+
"<extra_id_99>"
|
103 |
+
],
|
104 |
+
"clean_up_tokenization_spaces": true,
|
105 |
+
"eos_token": "</s>",
|
106 |
+
"extra_ids": 100,
|
107 |
+
"model_max_length": 512,
|
108 |
+
"pad_token": "<pad>",
|
109 |
+
"sp_model_kwargs": {},
|
110 |
+
"tokenizer_class": "T5Tokenizer",
|
111 |
+
"unk_token": "<unk>"
|
112 |
+
}
|