submit for max EX in SParC
Browse files- config.json +60 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- rng_state_4.pth +3 -0
- rng_state_5.pth +3 -0
- rng_state_6.pth +3 -0
- rng_state_7.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +2074 -0
- training_args.bin +3 -0
config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "t5-3b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"T5ForConditionalGeneration"
|
| 5 |
+
],
|
| 6 |
+
"d_ff": 16384,
|
| 7 |
+
"d_kv": 128,
|
| 8 |
+
"d_model": 1024,
|
| 9 |
+
"decoder_start_token_id": 0,
|
| 10 |
+
"diversity_penalty": null,
|
| 11 |
+
"dropout_rate": 0.1,
|
| 12 |
+
"eos_token_id": 1,
|
| 13 |
+
"feed_forward_proj": "relu",
|
| 14 |
+
"initializer_factor": 1.0,
|
| 15 |
+
"is_encoder_decoder": true,
|
| 16 |
+
"layer_norm_epsilon": 1e-06,
|
| 17 |
+
"max_length": 512,
|
| 18 |
+
"model_type": "t5",
|
| 19 |
+
"n_positions": 512,
|
| 20 |
+
"num_beams": 4,
|
| 21 |
+
"num_decoder_layers": 24,
|
| 22 |
+
"num_heads": 32,
|
| 23 |
+
"num_layers": 24,
|
| 24 |
+
"output_past": true,
|
| 25 |
+
"pad_token_id": 0,
|
| 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 |
+
"torch_dtype": "float32",
|
| 57 |
+
"transformers_version": "4.17.0",
|
| 58 |
+
"use_cache": false,
|
| 59 |
+
"vocab_size": 32102
|
| 60 |
+
}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1820e9f12030909a5a03616ca42f41011efb7a77c22711b3c1ca677cc1e82e62
|
| 3 |
+
size 13613718
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:60af3f5320a1bf766ada933781269b2110eb51da4b8e89dbc6363368cda8edb7
|
| 3 |
+
size 11406576835
|
rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7f956a9cf987a59b3f3a1fa2cc22b9a8df69a862458c71ac2b1c21aabd385ca0
|
| 3 |
+
size 14503
|
rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0e354c43ea23e99bf27a56d5783e75e574ba9d248ee690650c07ead10c6af77d
|
| 3 |
+
size 14503
|
rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b123df7045ef87ce59e784032e9d80e7644941b958996f6bfe575b13208c8d8
|
| 3 |
+
size 14503
|
rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ed28902aa51a2407905d46c0ec092e2c84eafb8d09f46450b847c2bc69d1a7a
|
| 3 |
+
size 14503
|
rng_state_4.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2197f13e9f3fa575ddcc68dd390cab73eb1f8db70fe340d63b81403de3899f8d
|
| 3 |
+
size 14503
|
rng_state_5.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d79aea9badbc5558d4eaf7d524d7435cf1ad0c71c52ea6951b095fdc349263ba
|
| 3 |
+
size 14503
|
rng_state_6.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1b88131de0867e0068adeb4521701a8137d69c14decec62c5db3c1302a8bdeb
|
| 3 |
+
size 14503
|
rng_state_7.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:489c0c6bba2a8d33b3c97fdc9c21ff179a0274029b7b88e0f76558c3b65acf0a
|
| 3 |
+
size 14503
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7ac15ce6ca89432d059ee479e43a0b52ed372774e3b8158aac5909adc2268e06
|
| 3 |
+
size 623
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"]}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "t5-3b", "tokenizer_class": "T5Tokenizer"}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2074 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.6359102244389028,
|
| 3 |
+
"best_model_checkpoint": "./experiment/train_0501_sparc_add_coref_denpendency/checkpoint-2304",
|
| 4 |
+
"epoch": 255.96644295302013,
|
| 5 |
+
"global_step": 2304,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.11,
|
| 12 |
+
"learning_rate": 0.0001,
|
| 13 |
+
"loss": 3.6078,
|
| 14 |
+
"step": 1
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.86,
|
| 18 |
+
"learning_rate": 0.0001,
|
| 19 |
+
"loss": 1.5566,
|
| 20 |
+
"step": 8
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 1.75,
|
| 24 |
+
"learning_rate": 0.0001,
|
| 25 |
+
"loss": 0.5692,
|
| 26 |
+
"step": 16
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 2.64,
|
| 30 |
+
"learning_rate": 0.0001,
|
| 31 |
+
"loss": 0.3415,
|
| 32 |
+
"step": 24
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 3.54,
|
| 36 |
+
"learning_rate": 0.0001,
|
| 37 |
+
"loss": 0.2727,
|
| 38 |
+
"step": 32
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 4.43,
|
| 42 |
+
"learning_rate": 0.0001,
|
| 43 |
+
"loss": 0.2052,
|
| 44 |
+
"step": 40
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 5.32,
|
| 48 |
+
"learning_rate": 0.0001,
|
| 49 |
+
"loss": 0.1592,
|
| 50 |
+
"step": 48
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 6.21,
|
| 54 |
+
"learning_rate": 0.0001,
|
| 55 |
+
"loss": 0.1344,
|
| 56 |
+
"step": 56
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 7.11,
|
| 60 |
+
"learning_rate": 0.0001,
|
| 61 |
+
"loss": 0.1275,
|
| 62 |
+
"step": 64
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 7.11,
|
| 66 |
+
"eval_exact_match": 0.48129675810473815,
|
| 67 |
+
"eval_exec": 0.5386533665835411,
|
| 68 |
+
"eval_loss": 0.17057272791862488,
|
| 69 |
+
"eval_runtime": 517.9951,
|
| 70 |
+
"eval_samples_per_second": 3.137,
|
| 71 |
+
"step": 64
|
| 72 |
+
},
|
| 73 |
+
{
|
| 74 |
+
"epoch": 7.97,
|
| 75 |
+
"learning_rate": 0.0001,
|
| 76 |
+
"loss": 0.094,
|
| 77 |
+
"step": 72
|
| 78 |
+
},
|
| 79 |
+
{
|
| 80 |
+
"epoch": 8.86,
|
| 81 |
+
"learning_rate": 0.0001,
|
| 82 |
+
"loss": 0.1076,
|
| 83 |
+
"step": 80
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 9.75,
|
| 87 |
+
"learning_rate": 0.0001,
|
| 88 |
+
"loss": 0.0796,
|
| 89 |
+
"step": 88
|
| 90 |
+
},
|
| 91 |
+
{
|
| 92 |
+
"epoch": 10.64,
|
| 93 |
+
"learning_rate": 0.0001,
|
| 94 |
+
"loss": 0.0729,
|
| 95 |
+
"step": 96
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"epoch": 11.54,
|
| 99 |
+
"learning_rate": 0.0001,
|
| 100 |
+
"loss": 0.0847,
|
| 101 |
+
"step": 104
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 12.43,
|
| 105 |
+
"learning_rate": 0.0001,
|
| 106 |
+
"loss": 0.0582,
|
| 107 |
+
"step": 112
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 13.32,
|
| 111 |
+
"learning_rate": 0.0001,
|
| 112 |
+
"loss": 0.0533,
|
| 113 |
+
"step": 120
|
| 114 |
+
},
|
| 115 |
+
{
|
| 116 |
+
"epoch": 14.21,
|
| 117 |
+
"learning_rate": 0.0001,
|
| 118 |
+
"loss": 0.0504,
|
| 119 |
+
"step": 128
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 14.21,
|
| 123 |
+
"eval_exact_match": 0.5469659185369908,
|
| 124 |
+
"eval_exec": 0.600166251039069,
|
| 125 |
+
"eval_loss": 0.18190230429172516,
|
| 126 |
+
"eval_runtime": 531.6846,
|
| 127 |
+
"eval_samples_per_second": 3.056,
|
| 128 |
+
"step": 128
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 15.11,
|
| 132 |
+
"learning_rate": 0.0001,
|
| 133 |
+
"loss": 0.0441,
|
| 134 |
+
"step": 136
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 15.97,
|
| 138 |
+
"learning_rate": 0.0001,
|
| 139 |
+
"loss": 0.0423,
|
| 140 |
+
"step": 144
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 16.86,
|
| 144 |
+
"learning_rate": 0.0001,
|
| 145 |
+
"loss": 0.0371,
|
| 146 |
+
"step": 152
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 17.75,
|
| 150 |
+
"learning_rate": 0.0001,
|
| 151 |
+
"loss": 0.0354,
|
| 152 |
+
"step": 160
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 18.64,
|
| 156 |
+
"learning_rate": 0.0001,
|
| 157 |
+
"loss": 0.0315,
|
| 158 |
+
"step": 168
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 19.54,
|
| 162 |
+
"learning_rate": 0.0001,
|
| 163 |
+
"loss": 0.0277,
|
| 164 |
+
"step": 176
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 20.43,
|
| 168 |
+
"learning_rate": 0.0001,
|
| 169 |
+
"loss": 0.0274,
|
| 170 |
+
"step": 184
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 21.32,
|
| 174 |
+
"learning_rate": 0.0001,
|
| 175 |
+
"loss": 0.0257,
|
| 176 |
+
"step": 192
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 21.32,
|
| 180 |
+
"eval_exact_match": 0.5627597672485453,
|
| 181 |
+
"eval_exec": 0.6217788861180382,
|
| 182 |
+
"eval_loss": 0.21687868237495422,
|
| 183 |
+
"eval_runtime": 659.6767,
|
| 184 |
+
"eval_samples_per_second": 2.463,
|
| 185 |
+
"step": 192
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 22.21,
|
| 189 |
+
"learning_rate": 0.0001,
|
| 190 |
+
"loss": 0.022,
|
| 191 |
+
"step": 200
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 23.11,
|
| 195 |
+
"learning_rate": 0.0001,
|
| 196 |
+
"loss": 0.0203,
|
| 197 |
+
"step": 208
|
| 198 |
+
},
|
| 199 |
+
{
|
| 200 |
+
"epoch": 23.97,
|
| 201 |
+
"learning_rate": 0.0001,
|
| 202 |
+
"loss": 0.0181,
|
| 203 |
+
"step": 216
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"epoch": 24.86,
|
| 207 |
+
"learning_rate": 0.0001,
|
| 208 |
+
"loss": 0.0181,
|
| 209 |
+
"step": 224
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 25.75,
|
| 213 |
+
"learning_rate": 0.0001,
|
| 214 |
+
"loss": 0.0176,
|
| 215 |
+
"step": 232
|
| 216 |
+
},
|
| 217 |
+
{
|
| 218 |
+
"epoch": 26.64,
|
| 219 |
+
"learning_rate": 0.0001,
|
| 220 |
+
"loss": 0.0145,
|
| 221 |
+
"step": 240
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 27.54,
|
| 225 |
+
"learning_rate": 0.0001,
|
| 226 |
+
"loss": 0.0132,
|
| 227 |
+
"step": 248
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 28.43,
|
| 231 |
+
"learning_rate": 0.0001,
|
| 232 |
+
"loss": 0.0156,
|
| 233 |
+
"step": 256
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 28.43,
|
| 237 |
+
"eval_exact_match": 0.4239401496259352,
|
| 238 |
+
"eval_exec": 0.4397339983374896,
|
| 239 |
+
"eval_loss": 0.3322429060935974,
|
| 240 |
+
"eval_runtime": 617.5714,
|
| 241 |
+
"eval_samples_per_second": 2.631,
|
| 242 |
+
"step": 256
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 29.32,
|
| 246 |
+
"learning_rate": 0.0001,
|
| 247 |
+
"loss": 0.0295,
|
| 248 |
+
"step": 264
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 30.21,
|
| 252 |
+
"learning_rate": 0.0001,
|
| 253 |
+
"loss": 0.0102,
|
| 254 |
+
"step": 272
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 31.11,
|
| 258 |
+
"learning_rate": 0.0001,
|
| 259 |
+
"loss": 0.0094,
|
| 260 |
+
"step": 280
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 31.97,
|
| 264 |
+
"learning_rate": 0.0001,
|
| 265 |
+
"loss": 0.0082,
|
| 266 |
+
"step": 288
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 32.86,
|
| 270 |
+
"learning_rate": 0.0001,
|
| 271 |
+
"loss": 0.0088,
|
| 272 |
+
"step": 296
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 33.75,
|
| 276 |
+
"learning_rate": 0.0001,
|
| 277 |
+
"loss": 0.011,
|
| 278 |
+
"step": 304
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 34.64,
|
| 282 |
+
"learning_rate": 0.0001,
|
| 283 |
+
"loss": 0.01,
|
| 284 |
+
"step": 312
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 35.54,
|
| 288 |
+
"learning_rate": 0.0001,
|
| 289 |
+
"loss": 0.0082,
|
| 290 |
+
"step": 320
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 35.54,
|
| 294 |
+
"eval_exact_match": 0.6018287614297589,
|
| 295 |
+
"eval_exec": 0.6458852867830424,
|
| 296 |
+
"eval_loss": 0.2703750431537628,
|
| 297 |
+
"eval_runtime": 591.5567,
|
| 298 |
+
"eval_samples_per_second": 2.747,
|
| 299 |
+
"step": 320
|
| 300 |
+
},
|
| 301 |
+
{
|
| 302 |
+
"epoch": 36.43,
|
| 303 |
+
"learning_rate": 0.0001,
|
| 304 |
+
"loss": 0.0072,
|
| 305 |
+
"step": 328
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 37.32,
|
| 309 |
+
"learning_rate": 0.0001,
|
| 310 |
+
"loss": 0.0063,
|
| 311 |
+
"step": 336
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 38.21,
|
| 315 |
+
"learning_rate": 0.0001,
|
| 316 |
+
"loss": 0.0061,
|
| 317 |
+
"step": 344
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 39.11,
|
| 321 |
+
"learning_rate": 0.0001,
|
| 322 |
+
"loss": 0.0062,
|
| 323 |
+
"step": 352
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 39.97,
|
| 327 |
+
"learning_rate": 0.0001,
|
| 328 |
+
"loss": 0.0051,
|
| 329 |
+
"step": 360
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 40.86,
|
| 333 |
+
"learning_rate": 0.0001,
|
| 334 |
+
"loss": 0.005,
|
| 335 |
+
"step": 368
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 41.75,
|
| 339 |
+
"learning_rate": 0.0001,
|
| 340 |
+
"loss": 0.0051,
|
| 341 |
+
"step": 376
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 42.64,
|
| 345 |
+
"learning_rate": 0.0001,
|
| 346 |
+
"loss": 0.0054,
|
| 347 |
+
"step": 384
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 42.64,
|
| 351 |
+
"eval_exact_match": 0.600997506234414,
|
| 352 |
+
"eval_exec": 0.6500415627597672,
|
| 353 |
+
"eval_loss": 0.2921164035797119,
|
| 354 |
+
"eval_runtime": 612.6538,
|
| 355 |
+
"eval_samples_per_second": 2.652,
|
| 356 |
+
"step": 384
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 43.54,
|
| 360 |
+
"learning_rate": 0.0001,
|
| 361 |
+
"loss": 0.0106,
|
| 362 |
+
"step": 392
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 44.43,
|
| 366 |
+
"learning_rate": 0.0001,
|
| 367 |
+
"loss": 0.0053,
|
| 368 |
+
"step": 400
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 45.32,
|
| 372 |
+
"learning_rate": 0.0001,
|
| 373 |
+
"loss": 0.005,
|
| 374 |
+
"step": 408
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 46.21,
|
| 378 |
+
"learning_rate": 0.0001,
|
| 379 |
+
"loss": 0.0043,
|
| 380 |
+
"step": 416
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 47.11,
|
| 384 |
+
"learning_rate": 0.0001,
|
| 385 |
+
"loss": 0.0043,
|
| 386 |
+
"step": 424
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 47.97,
|
| 390 |
+
"learning_rate": 0.0001,
|
| 391 |
+
"loss": 0.0037,
|
| 392 |
+
"step": 432
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 48.86,
|
| 396 |
+
"learning_rate": 0.0001,
|
| 397 |
+
"loss": 0.0043,
|
| 398 |
+
"step": 440
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 49.75,
|
| 402 |
+
"learning_rate": 0.0001,
|
| 403 |
+
"loss": 0.0077,
|
| 404 |
+
"step": 448
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 49.75,
|
| 408 |
+
"eval_exact_match": 0.6101413133832086,
|
| 409 |
+
"eval_exec": 0.6483790523690773,
|
| 410 |
+
"eval_loss": 0.29036417603492737,
|
| 411 |
+
"eval_runtime": 632.4401,
|
| 412 |
+
"eval_samples_per_second": 2.569,
|
| 413 |
+
"step": 448
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 50.64,
|
| 417 |
+
"learning_rate": 0.0001,
|
| 418 |
+
"loss": 0.004,
|
| 419 |
+
"step": 456
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 51.54,
|
| 423 |
+
"learning_rate": 0.0001,
|
| 424 |
+
"loss": 0.004,
|
| 425 |
+
"step": 464
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 52.43,
|
| 429 |
+
"learning_rate": 0.0001,
|
| 430 |
+
"loss": 0.0141,
|
| 431 |
+
"step": 472
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 53.32,
|
| 435 |
+
"learning_rate": 0.0001,
|
| 436 |
+
"loss": 0.0131,
|
| 437 |
+
"step": 480
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 54.21,
|
| 441 |
+
"learning_rate": 0.0001,
|
| 442 |
+
"loss": 0.0034,
|
| 443 |
+
"step": 488
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 55.11,
|
| 447 |
+
"learning_rate": 0.0001,
|
| 448 |
+
"loss": 0.0033,
|
| 449 |
+
"step": 496
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 55.97,
|
| 453 |
+
"learning_rate": 0.0001,
|
| 454 |
+
"loss": 0.0029,
|
| 455 |
+
"step": 504
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 56.86,
|
| 459 |
+
"learning_rate": 0.0001,
|
| 460 |
+
"loss": 0.003,
|
| 461 |
+
"step": 512
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 56.86,
|
| 465 |
+
"eval_exact_match": 0.6176226101413134,
|
| 466 |
+
"eval_exec": 0.6716541978387365,
|
| 467 |
+
"eval_loss": 0.3254193067550659,
|
| 468 |
+
"eval_runtime": 623.8474,
|
| 469 |
+
"eval_samples_per_second": 2.605,
|
| 470 |
+
"step": 512
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 57.75,
|
| 474 |
+
"learning_rate": 0.0001,
|
| 475 |
+
"loss": 0.003,
|
| 476 |
+
"step": 520
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 58.64,
|
| 480 |
+
"learning_rate": 0.0001,
|
| 481 |
+
"loss": 0.0027,
|
| 482 |
+
"step": 528
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 59.54,
|
| 486 |
+
"learning_rate": 0.0001,
|
| 487 |
+
"loss": 0.0026,
|
| 488 |
+
"step": 536
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 60.43,
|
| 492 |
+
"learning_rate": 0.0001,
|
| 493 |
+
"loss": 0.0028,
|
| 494 |
+
"step": 544
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 61.32,
|
| 498 |
+
"learning_rate": 0.0001,
|
| 499 |
+
"loss": 0.0024,
|
| 500 |
+
"step": 552
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 62.21,
|
| 504 |
+
"learning_rate": 0.0001,
|
| 505 |
+
"loss": 0.0026,
|
| 506 |
+
"step": 560
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 63.11,
|
| 510 |
+
"learning_rate": 0.0001,
|
| 511 |
+
"loss": 0.0024,
|
| 512 |
+
"step": 568
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 63.97,
|
| 516 |
+
"learning_rate": 0.0001,
|
| 517 |
+
"loss": 0.002,
|
| 518 |
+
"step": 576
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 63.97,
|
| 522 |
+
"eval_exact_match": 0.6176226101413134,
|
| 523 |
+
"eval_exec": 0.6600166251039069,
|
| 524 |
+
"eval_loss": 0.34047040343284607,
|
| 525 |
+
"eval_runtime": 625.6853,
|
| 526 |
+
"eval_samples_per_second": 2.597,
|
| 527 |
+
"step": 576
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 64.86,
|
| 531 |
+
"learning_rate": 0.0001,
|
| 532 |
+
"loss": 0.0026,
|
| 533 |
+
"step": 584
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 65.75,
|
| 537 |
+
"learning_rate": 0.0001,
|
| 538 |
+
"loss": 0.0025,
|
| 539 |
+
"step": 592
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 66.64,
|
| 543 |
+
"learning_rate": 0.0001,
|
| 544 |
+
"loss": 0.0022,
|
| 545 |
+
"step": 600
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 67.54,
|
| 549 |
+
"learning_rate": 0.0001,
|
| 550 |
+
"loss": 0.0026,
|
| 551 |
+
"step": 608
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 68.43,
|
| 555 |
+
"learning_rate": 0.0001,
|
| 556 |
+
"loss": 0.0031,
|
| 557 |
+
"step": 616
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 69.32,
|
| 561 |
+
"learning_rate": 0.0001,
|
| 562 |
+
"loss": 0.0022,
|
| 563 |
+
"step": 624
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 70.21,
|
| 567 |
+
"learning_rate": 0.0001,
|
| 568 |
+
"loss": 0.002,
|
| 569 |
+
"step": 632
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 71.11,
|
| 573 |
+
"learning_rate": 0.0001,
|
| 574 |
+
"loss": 0.0023,
|
| 575 |
+
"step": 640
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 71.11,
|
| 579 |
+
"eval_exact_match": 0.5935162094763092,
|
| 580 |
+
"eval_exec": 0.6367414796342478,
|
| 581 |
+
"eval_loss": 0.3419930040836334,
|
| 582 |
+
"eval_runtime": 628.956,
|
| 583 |
+
"eval_samples_per_second": 2.584,
|
| 584 |
+
"step": 640
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 71.97,
|
| 588 |
+
"learning_rate": 0.0001,
|
| 589 |
+
"loss": 0.0021,
|
| 590 |
+
"step": 648
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 72.86,
|
| 594 |
+
"learning_rate": 0.0001,
|
| 595 |
+
"loss": 0.0019,
|
| 596 |
+
"step": 656
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 73.75,
|
| 600 |
+
"learning_rate": 0.0001,
|
| 601 |
+
"loss": 0.0023,
|
| 602 |
+
"step": 664
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 74.64,
|
| 606 |
+
"learning_rate": 0.0001,
|
| 607 |
+
"loss": 0.002,
|
| 608 |
+
"step": 672
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 75.54,
|
| 612 |
+
"learning_rate": 0.0001,
|
| 613 |
+
"loss": 0.0025,
|
| 614 |
+
"step": 680
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 76.43,
|
| 618 |
+
"learning_rate": 0.0001,
|
| 619 |
+
"loss": 0.002,
|
| 620 |
+
"step": 688
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 77.32,
|
| 624 |
+
"learning_rate": 0.0001,
|
| 625 |
+
"loss": 0.0066,
|
| 626 |
+
"step": 696
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 78.21,
|
| 630 |
+
"learning_rate": 0.0001,
|
| 631 |
+
"loss": 0.0081,
|
| 632 |
+
"step": 704
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 78.21,
|
| 636 |
+
"eval_exact_match": 0.6101413133832086,
|
| 637 |
+
"eval_exec": 0.6658354114713217,
|
| 638 |
+
"eval_loss": 0.3075915575027466,
|
| 639 |
+
"eval_runtime": 610.1005,
|
| 640 |
+
"eval_samples_per_second": 2.663,
|
| 641 |
+
"step": 704
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 79.11,
|
| 645 |
+
"learning_rate": 0.0001,
|
| 646 |
+
"loss": 0.0025,
|
| 647 |
+
"step": 712
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 79.97,
|
| 651 |
+
"learning_rate": 0.0001,
|
| 652 |
+
"loss": 0.0025,
|
| 653 |
+
"step": 720
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 80.86,
|
| 657 |
+
"learning_rate": 0.0001,
|
| 658 |
+
"loss": 0.0017,
|
| 659 |
+
"step": 728
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 81.75,
|
| 663 |
+
"learning_rate": 0.0001,
|
| 664 |
+
"loss": 0.0019,
|
| 665 |
+
"step": 736
|
| 666 |
+
},
|
| 667 |
+
{
|
| 668 |
+
"epoch": 82.64,
|
| 669 |
+
"learning_rate": 0.0001,
|
| 670 |
+
"loss": 0.0017,
|
| 671 |
+
"step": 744
|
| 672 |
+
},
|
| 673 |
+
{
|
| 674 |
+
"epoch": 83.54,
|
| 675 |
+
"learning_rate": 0.0001,
|
| 676 |
+
"loss": 0.0015,
|
| 677 |
+
"step": 752
|
| 678 |
+
},
|
| 679 |
+
{
|
| 680 |
+
"epoch": 84.43,
|
| 681 |
+
"learning_rate": 0.0001,
|
| 682 |
+
"loss": 0.0022,
|
| 683 |
+
"step": 760
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 85.32,
|
| 687 |
+
"learning_rate": 0.0001,
|
| 688 |
+
"loss": 0.0085,
|
| 689 |
+
"step": 768
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 85.32,
|
| 693 |
+
"eval_exact_match": 0.6267664172901081,
|
| 694 |
+
"eval_exec": 0.6783042394014963,
|
| 695 |
+
"eval_loss": 0.34360331296920776,
|
| 696 |
+
"eval_runtime": 719.9169,
|
| 697 |
+
"eval_samples_per_second": 2.257,
|
| 698 |
+
"step": 768
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 86.21,
|
| 702 |
+
"learning_rate": 0.0001,
|
| 703 |
+
"loss": 0.0016,
|
| 704 |
+
"step": 776
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 87.11,
|
| 708 |
+
"learning_rate": 0.0001,
|
| 709 |
+
"loss": 0.0018,
|
| 710 |
+
"step": 784
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 87.97,
|
| 714 |
+
"learning_rate": 0.0001,
|
| 715 |
+
"loss": 0.0036,
|
| 716 |
+
"step": 792
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 88.86,
|
| 720 |
+
"learning_rate": 0.0001,
|
| 721 |
+
"loss": 0.0016,
|
| 722 |
+
"step": 800
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 89.75,
|
| 726 |
+
"learning_rate": 0.0001,
|
| 727 |
+
"loss": 0.0015,
|
| 728 |
+
"step": 808
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 90.64,
|
| 732 |
+
"learning_rate": 0.0001,
|
| 733 |
+
"loss": 0.0015,
|
| 734 |
+
"step": 816
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 91.54,
|
| 738 |
+
"learning_rate": 0.0001,
|
| 739 |
+
"loss": 0.0035,
|
| 740 |
+
"step": 824
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 92.43,
|
| 744 |
+
"learning_rate": 0.0001,
|
| 745 |
+
"loss": 0.0053,
|
| 746 |
+
"step": 832
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 92.43,
|
| 750 |
+
"eval_exact_match": 0.6051537822111388,
|
| 751 |
+
"eval_exec": 0.6674979218620116,
|
| 752 |
+
"eval_loss": 0.3258628249168396,
|
| 753 |
+
"eval_runtime": 632.8345,
|
| 754 |
+
"eval_samples_per_second": 2.568,
|
| 755 |
+
"step": 832
|
| 756 |
+
},
|
| 757 |
+
{
|
| 758 |
+
"epoch": 93.32,
|
| 759 |
+
"learning_rate": 0.0001,
|
| 760 |
+
"loss": 0.0016,
|
| 761 |
+
"step": 840
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 94.21,
|
| 765 |
+
"learning_rate": 0.0001,
|
| 766 |
+
"loss": 0.0063,
|
| 767 |
+
"step": 848
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 95.11,
|
| 771 |
+
"learning_rate": 0.0001,
|
| 772 |
+
"loss": 0.0021,
|
| 773 |
+
"step": 856
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 95.97,
|
| 777 |
+
"learning_rate": 0.0001,
|
| 778 |
+
"loss": 0.0015,
|
| 779 |
+
"step": 864
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 96.86,
|
| 783 |
+
"learning_rate": 0.0001,
|
| 784 |
+
"loss": 0.0013,
|
| 785 |
+
"step": 872
|
| 786 |
+
},
|
| 787 |
+
{
|
| 788 |
+
"epoch": 97.75,
|
| 789 |
+
"learning_rate": 0.0001,
|
| 790 |
+
"loss": 0.0015,
|
| 791 |
+
"step": 880
|
| 792 |
+
},
|
| 793 |
+
{
|
| 794 |
+
"epoch": 98.64,
|
| 795 |
+
"learning_rate": 0.0001,
|
| 796 |
+
"loss": 0.0024,
|
| 797 |
+
"step": 888
|
| 798 |
+
},
|
| 799 |
+
{
|
| 800 |
+
"epoch": 99.54,
|
| 801 |
+
"learning_rate": 0.0001,
|
| 802 |
+
"loss": 0.0014,
|
| 803 |
+
"step": 896
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 99.54,
|
| 807 |
+
"eval_exact_match": 0.6126350789692435,
|
| 808 |
+
"eval_exec": 0.6625103906899418,
|
| 809 |
+
"eval_loss": 0.3495762348175049,
|
| 810 |
+
"eval_runtime": 646.5878,
|
| 811 |
+
"eval_samples_per_second": 2.513,
|
| 812 |
+
"step": 896
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 100.43,
|
| 816 |
+
"learning_rate": 0.0001,
|
| 817 |
+
"loss": 0.0012,
|
| 818 |
+
"step": 904
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 101.32,
|
| 822 |
+
"learning_rate": 0.0001,
|
| 823 |
+
"loss": 0.0015,
|
| 824 |
+
"step": 912
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 102.21,
|
| 828 |
+
"learning_rate": 0.0001,
|
| 829 |
+
"loss": 0.0013,
|
| 830 |
+
"step": 920
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 103.11,
|
| 834 |
+
"learning_rate": 0.0001,
|
| 835 |
+
"loss": 0.0013,
|
| 836 |
+
"step": 928
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 103.97,
|
| 840 |
+
"learning_rate": 0.0001,
|
| 841 |
+
"loss": 0.0013,
|
| 842 |
+
"step": 936
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 104.86,
|
| 846 |
+
"learning_rate": 0.0001,
|
| 847 |
+
"loss": 0.0014,
|
| 848 |
+
"step": 944
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 105.75,
|
| 852 |
+
"learning_rate": 0.0001,
|
| 853 |
+
"loss": 0.0012,
|
| 854 |
+
"step": 952
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 106.64,
|
| 858 |
+
"learning_rate": 0.0001,
|
| 859 |
+
"loss": 0.0012,
|
| 860 |
+
"step": 960
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 106.64,
|
| 864 |
+
"eval_exact_match": 0.6267664172901081,
|
| 865 |
+
"eval_exec": 0.6749792186201163,
|
| 866 |
+
"eval_loss": 0.3583427369594574,
|
| 867 |
+
"eval_runtime": 675.9856,
|
| 868 |
+
"eval_samples_per_second": 2.404,
|
| 869 |
+
"step": 960
|
| 870 |
+
},
|
| 871 |
+
{
|
| 872 |
+
"epoch": 107.54,
|
| 873 |
+
"learning_rate": 0.0001,
|
| 874 |
+
"loss": 0.0018,
|
| 875 |
+
"step": 968
|
| 876 |
+
},
|
| 877 |
+
{
|
| 878 |
+
"epoch": 108.43,
|
| 879 |
+
"learning_rate": 0.0001,
|
| 880 |
+
"loss": 0.0014,
|
| 881 |
+
"step": 976
|
| 882 |
+
},
|
| 883 |
+
{
|
| 884 |
+
"epoch": 109.32,
|
| 885 |
+
"learning_rate": 0.0001,
|
| 886 |
+
"loss": 0.0013,
|
| 887 |
+
"step": 984
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 110.21,
|
| 891 |
+
"learning_rate": 0.0001,
|
| 892 |
+
"loss": 0.0015,
|
| 893 |
+
"step": 992
|
| 894 |
+
},
|
| 895 |
+
{
|
| 896 |
+
"epoch": 111.11,
|
| 897 |
+
"learning_rate": 0.0001,
|
| 898 |
+
"loss": 0.0039,
|
| 899 |
+
"step": 1000
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 111.97,
|
| 903 |
+
"learning_rate": 0.0001,
|
| 904 |
+
"loss": 0.0013,
|
| 905 |
+
"step": 1008
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 112.86,
|
| 909 |
+
"learning_rate": 0.0001,
|
| 910 |
+
"loss": 0.0013,
|
| 911 |
+
"step": 1016
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
"epoch": 113.75,
|
| 915 |
+
"learning_rate": 0.0001,
|
| 916 |
+
"loss": 0.0013,
|
| 917 |
+
"step": 1024
|
| 918 |
+
},
|
| 919 |
+
{
|
| 920 |
+
"epoch": 113.75,
|
| 921 |
+
"eval_exact_match": 0.6134663341645885,
|
| 922 |
+
"eval_exec": 0.6625103906899418,
|
| 923 |
+
"eval_loss": 0.36480623483657837,
|
| 924 |
+
"eval_runtime": 687.3703,
|
| 925 |
+
"eval_samples_per_second": 2.364,
|
| 926 |
+
"step": 1024
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 114.64,
|
| 930 |
+
"learning_rate": 0.0001,
|
| 931 |
+
"loss": 0.0013,
|
| 932 |
+
"step": 1032
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 115.54,
|
| 936 |
+
"learning_rate": 0.0001,
|
| 937 |
+
"loss": 0.0018,
|
| 938 |
+
"step": 1040
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 116.43,
|
| 942 |
+
"learning_rate": 0.0001,
|
| 943 |
+
"loss": 0.0013,
|
| 944 |
+
"step": 1048
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 117.32,
|
| 948 |
+
"learning_rate": 0.0001,
|
| 949 |
+
"loss": 0.0012,
|
| 950 |
+
"step": 1056
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 118.21,
|
| 954 |
+
"learning_rate": 0.0001,
|
| 955 |
+
"loss": 0.0011,
|
| 956 |
+
"step": 1064
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 119.11,
|
| 960 |
+
"learning_rate": 0.0001,
|
| 961 |
+
"loss": 0.0013,
|
| 962 |
+
"step": 1072
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 119.97,
|
| 966 |
+
"learning_rate": 0.0001,
|
| 967 |
+
"loss": 0.0011,
|
| 968 |
+
"step": 1080
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 120.86,
|
| 972 |
+
"learning_rate": 0.0001,
|
| 973 |
+
"loss": 0.0011,
|
| 974 |
+
"step": 1088
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 120.86,
|
| 978 |
+
"eval_exact_match": 0.6034912718204489,
|
| 979 |
+
"eval_exec": 0.6525353283458022,
|
| 980 |
+
"eval_loss": 0.38511478900909424,
|
| 981 |
+
"eval_runtime": 1089.0696,
|
| 982 |
+
"eval_samples_per_second": 1.492,
|
| 983 |
+
"step": 1088
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 121.75,
|
| 987 |
+
"learning_rate": 0.0001,
|
| 988 |
+
"loss": 0.0013,
|
| 989 |
+
"step": 1096
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 122.64,
|
| 993 |
+
"learning_rate": 0.0001,
|
| 994 |
+
"loss": 0.0088,
|
| 995 |
+
"step": 1104
|
| 996 |
+
},
|
| 997 |
+
{
|
| 998 |
+
"epoch": 123.54,
|
| 999 |
+
"learning_rate": 0.0001,
|
| 1000 |
+
"loss": 0.0022,
|
| 1001 |
+
"step": 1112
|
| 1002 |
+
},
|
| 1003 |
+
{
|
| 1004 |
+
"epoch": 124.43,
|
| 1005 |
+
"learning_rate": 0.0001,
|
| 1006 |
+
"loss": 0.0012,
|
| 1007 |
+
"step": 1120
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 125.32,
|
| 1011 |
+
"learning_rate": 0.0001,
|
| 1012 |
+
"loss": 0.0011,
|
| 1013 |
+
"step": 1128
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 126.21,
|
| 1017 |
+
"learning_rate": 0.0001,
|
| 1018 |
+
"loss": 0.0012,
|
| 1019 |
+
"step": 1136
|
| 1020 |
+
},
|
| 1021 |
+
{
|
| 1022 |
+
"epoch": 127.11,
|
| 1023 |
+
"learning_rate": 0.0001,
|
| 1024 |
+
"loss": 0.0012,
|
| 1025 |
+
"step": 1144
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 127.97,
|
| 1029 |
+
"learning_rate": 0.0001,
|
| 1030 |
+
"loss": 0.0013,
|
| 1031 |
+
"step": 1152
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 127.97,
|
| 1035 |
+
"eval_exact_match": 0.6126350789692435,
|
| 1036 |
+
"eval_exec": 0.6616791354945969,
|
| 1037 |
+
"eval_loss": 0.3620198965072632,
|
| 1038 |
+
"eval_runtime": 625.7472,
|
| 1039 |
+
"eval_samples_per_second": 2.597,
|
| 1040 |
+
"step": 1152
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 128.86,
|
| 1044 |
+
"learning_rate": 0.0001,
|
| 1045 |
+
"loss": 0.001,
|
| 1046 |
+
"step": 1160
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 129.75,
|
| 1050 |
+
"learning_rate": 0.0001,
|
| 1051 |
+
"loss": 0.0022,
|
| 1052 |
+
"step": 1168
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 130.64,
|
| 1056 |
+
"learning_rate": 0.0001,
|
| 1057 |
+
"loss": 0.0012,
|
| 1058 |
+
"step": 1176
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 131.54,
|
| 1062 |
+
"learning_rate": 0.0001,
|
| 1063 |
+
"loss": 0.0013,
|
| 1064 |
+
"step": 1184
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 132.43,
|
| 1068 |
+
"learning_rate": 0.0001,
|
| 1069 |
+
"loss": 0.0012,
|
| 1070 |
+
"step": 1192
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 133.32,
|
| 1074 |
+
"learning_rate": 0.0001,
|
| 1075 |
+
"loss": 0.001,
|
| 1076 |
+
"step": 1200
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 134.21,
|
| 1080 |
+
"learning_rate": 0.0001,
|
| 1081 |
+
"loss": 0.0011,
|
| 1082 |
+
"step": 1208
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 135.11,
|
| 1086 |
+
"learning_rate": 0.0001,
|
| 1087 |
+
"loss": 0.0009,
|
| 1088 |
+
"step": 1216
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 135.11,
|
| 1092 |
+
"eval_exact_match": 0.6109725685785536,
|
| 1093 |
+
"eval_exec": 0.6625103906899418,
|
| 1094 |
+
"eval_loss": 0.38990598917007446,
|
| 1095 |
+
"eval_runtime": 672.2153,
|
| 1096 |
+
"eval_samples_per_second": 2.417,
|
| 1097 |
+
"step": 1216
|
| 1098 |
+
},
|
| 1099 |
+
{
|
| 1100 |
+
"epoch": 135.97,
|
| 1101 |
+
"learning_rate": 0.0001,
|
| 1102 |
+
"loss": 0.001,
|
| 1103 |
+
"step": 1224
|
| 1104 |
+
},
|
| 1105 |
+
{
|
| 1106 |
+
"epoch": 136.86,
|
| 1107 |
+
"learning_rate": 0.0001,
|
| 1108 |
+
"loss": 0.001,
|
| 1109 |
+
"step": 1232
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 137.75,
|
| 1113 |
+
"learning_rate": 0.0001,
|
| 1114 |
+
"loss": 0.001,
|
| 1115 |
+
"step": 1240
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 138.64,
|
| 1119 |
+
"learning_rate": 0.0001,
|
| 1120 |
+
"loss": 0.0011,
|
| 1121 |
+
"step": 1248
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 139.54,
|
| 1125 |
+
"learning_rate": 0.0001,
|
| 1126 |
+
"loss": 0.0011,
|
| 1127 |
+
"step": 1256
|
| 1128 |
+
},
|
| 1129 |
+
{
|
| 1130 |
+
"epoch": 140.43,
|
| 1131 |
+
"learning_rate": 0.0001,
|
| 1132 |
+
"loss": 0.0014,
|
| 1133 |
+
"step": 1264
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 141.32,
|
| 1137 |
+
"learning_rate": 0.0001,
|
| 1138 |
+
"loss": 0.0011,
|
| 1139 |
+
"step": 1272
|
| 1140 |
+
},
|
| 1141 |
+
{
|
| 1142 |
+
"epoch": 142.21,
|
| 1143 |
+
"learning_rate": 0.0001,
|
| 1144 |
+
"loss": 0.001,
|
| 1145 |
+
"step": 1280
|
| 1146 |
+
},
|
| 1147 |
+
{
|
| 1148 |
+
"epoch": 142.21,
|
| 1149 |
+
"eval_exact_match": 0.6192851205320034,
|
| 1150 |
+
"eval_exec": 0.6766417290108063,
|
| 1151 |
+
"eval_loss": 0.3710319697856903,
|
| 1152 |
+
"eval_runtime": 681.1968,
|
| 1153 |
+
"eval_samples_per_second": 2.386,
|
| 1154 |
+
"step": 1280
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 143.11,
|
| 1158 |
+
"learning_rate": 0.0001,
|
| 1159 |
+
"loss": 0.0009,
|
| 1160 |
+
"step": 1288
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 143.97,
|
| 1164 |
+
"learning_rate": 0.0001,
|
| 1165 |
+
"loss": 0.0009,
|
| 1166 |
+
"step": 1296
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 144.86,
|
| 1170 |
+
"learning_rate": 0.0001,
|
| 1171 |
+
"loss": 0.0011,
|
| 1172 |
+
"step": 1304
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 145.75,
|
| 1176 |
+
"learning_rate": 0.0001,
|
| 1177 |
+
"loss": 0.0059,
|
| 1178 |
+
"step": 1312
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 146.64,
|
| 1182 |
+
"learning_rate": 0.0001,
|
| 1183 |
+
"loss": 0.0019,
|
| 1184 |
+
"step": 1320
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 147.54,
|
| 1188 |
+
"learning_rate": 0.0001,
|
| 1189 |
+
"loss": 0.0013,
|
| 1190 |
+
"step": 1328
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 148.43,
|
| 1194 |
+
"learning_rate": 0.0001,
|
| 1195 |
+
"loss": 0.001,
|
| 1196 |
+
"step": 1336
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 149.32,
|
| 1200 |
+
"learning_rate": 0.0001,
|
| 1201 |
+
"loss": 0.001,
|
| 1202 |
+
"step": 1344
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 149.32,
|
| 1206 |
+
"eval_exact_match": 0.6126350789692435,
|
| 1207 |
+
"eval_exec": 0.6541978387364921,
|
| 1208 |
+
"eval_loss": 0.38512444496154785,
|
| 1209 |
+
"eval_runtime": 658.6422,
|
| 1210 |
+
"eval_samples_per_second": 2.467,
|
| 1211 |
+
"step": 1344
|
| 1212 |
+
},
|
| 1213 |
+
{
|
| 1214 |
+
"epoch": 150.21,
|
| 1215 |
+
"learning_rate": 0.0001,
|
| 1216 |
+
"loss": 0.001,
|
| 1217 |
+
"step": 1352
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 151.11,
|
| 1221 |
+
"learning_rate": 0.0001,
|
| 1222 |
+
"loss": 0.0011,
|
| 1223 |
+
"step": 1360
|
| 1224 |
+
},
|
| 1225 |
+
{
|
| 1226 |
+
"epoch": 151.97,
|
| 1227 |
+
"learning_rate": 0.0001,
|
| 1228 |
+
"loss": 0.0009,
|
| 1229 |
+
"step": 1368
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 152.86,
|
| 1233 |
+
"learning_rate": 0.0001,
|
| 1234 |
+
"loss": 0.0013,
|
| 1235 |
+
"step": 1376
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 153.75,
|
| 1239 |
+
"learning_rate": 0.0001,
|
| 1240 |
+
"loss": 0.0011,
|
| 1241 |
+
"step": 1384
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 154.64,
|
| 1245 |
+
"learning_rate": 0.0001,
|
| 1246 |
+
"loss": 0.0022,
|
| 1247 |
+
"step": 1392
|
| 1248 |
+
},
|
| 1249 |
+
{
|
| 1250 |
+
"epoch": 155.54,
|
| 1251 |
+
"learning_rate": 0.0001,
|
| 1252 |
+
"loss": 0.0011,
|
| 1253 |
+
"step": 1400
|
| 1254 |
+
},
|
| 1255 |
+
{
|
| 1256 |
+
"epoch": 156.43,
|
| 1257 |
+
"learning_rate": 0.0001,
|
| 1258 |
+
"loss": 0.001,
|
| 1259 |
+
"step": 1408
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 156.43,
|
| 1263 |
+
"eval_exact_match": 0.6134663341645885,
|
| 1264 |
+
"eval_exec": 0.6716541978387365,
|
| 1265 |
+
"eval_loss": 0.37701520323753357,
|
| 1266 |
+
"eval_runtime": 671.9945,
|
| 1267 |
+
"eval_samples_per_second": 2.418,
|
| 1268 |
+
"step": 1408
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 157.32,
|
| 1272 |
+
"learning_rate": 0.0001,
|
| 1273 |
+
"loss": 0.0011,
|
| 1274 |
+
"step": 1416
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 158.21,
|
| 1278 |
+
"learning_rate": 0.0001,
|
| 1279 |
+
"loss": 0.0008,
|
| 1280 |
+
"step": 1424
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 159.11,
|
| 1284 |
+
"learning_rate": 0.0001,
|
| 1285 |
+
"loss": 0.001,
|
| 1286 |
+
"step": 1432
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 159.97,
|
| 1290 |
+
"learning_rate": 0.0001,
|
| 1291 |
+
"loss": 0.0009,
|
| 1292 |
+
"step": 1440
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 160.86,
|
| 1296 |
+
"learning_rate": 0.0001,
|
| 1297 |
+
"loss": 0.0009,
|
| 1298 |
+
"step": 1448
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 161.75,
|
| 1302 |
+
"learning_rate": 0.0001,
|
| 1303 |
+
"loss": 0.001,
|
| 1304 |
+
"step": 1456
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 162.64,
|
| 1308 |
+
"learning_rate": 0.0001,
|
| 1309 |
+
"loss": 0.0009,
|
| 1310 |
+
"step": 1464
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 163.54,
|
| 1314 |
+
"learning_rate": 0.0001,
|
| 1315 |
+
"loss": 0.001,
|
| 1316 |
+
"step": 1472
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 163.54,
|
| 1320 |
+
"eval_exact_match": 0.6093100581878637,
|
| 1321 |
+
"eval_exec": 0.6683291770573566,
|
| 1322 |
+
"eval_loss": 0.38139888644218445,
|
| 1323 |
+
"eval_runtime": 629.7005,
|
| 1324 |
+
"eval_samples_per_second": 2.581,
|
| 1325 |
+
"step": 1472
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 164.43,
|
| 1329 |
+
"learning_rate": 0.0001,
|
| 1330 |
+
"loss": 0.0009,
|
| 1331 |
+
"step": 1480
|
| 1332 |
+
},
|
| 1333 |
+
{
|
| 1334 |
+
"epoch": 165.32,
|
| 1335 |
+
"learning_rate": 0.0001,
|
| 1336 |
+
"loss": 0.0012,
|
| 1337 |
+
"step": 1488
|
| 1338 |
+
},
|
| 1339 |
+
{
|
| 1340 |
+
"epoch": 166.21,
|
| 1341 |
+
"learning_rate": 0.0001,
|
| 1342 |
+
"loss": 0.0009,
|
| 1343 |
+
"step": 1496
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 167.11,
|
| 1347 |
+
"learning_rate": 0.0001,
|
| 1348 |
+
"loss": 0.001,
|
| 1349 |
+
"step": 1504
|
| 1350 |
+
},
|
| 1351 |
+
{
|
| 1352 |
+
"epoch": 167.97,
|
| 1353 |
+
"learning_rate": 0.0001,
|
| 1354 |
+
"loss": 0.001,
|
| 1355 |
+
"step": 1512
|
| 1356 |
+
},
|
| 1357 |
+
{
|
| 1358 |
+
"epoch": 168.86,
|
| 1359 |
+
"learning_rate": 0.0001,
|
| 1360 |
+
"loss": 0.0009,
|
| 1361 |
+
"step": 1520
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 169.75,
|
| 1365 |
+
"learning_rate": 0.0001,
|
| 1366 |
+
"loss": 0.0009,
|
| 1367 |
+
"step": 1528
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 170.64,
|
| 1371 |
+
"learning_rate": 0.0001,
|
| 1372 |
+
"loss": 0.0015,
|
| 1373 |
+
"step": 1536
|
| 1374 |
+
},
|
| 1375 |
+
{
|
| 1376 |
+
"epoch": 170.64,
|
| 1377 |
+
"eval_exact_match": 0.6259351620947631,
|
| 1378 |
+
"eval_exec": 0.6683291770573566,
|
| 1379 |
+
"eval_loss": 0.3713288903236389,
|
| 1380 |
+
"eval_runtime": 663.4255,
|
| 1381 |
+
"eval_samples_per_second": 2.449,
|
| 1382 |
+
"step": 1536
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 171.54,
|
| 1386 |
+
"learning_rate": 0.0001,
|
| 1387 |
+
"loss": 0.0011,
|
| 1388 |
+
"step": 1544
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 172.43,
|
| 1392 |
+
"learning_rate": 0.0001,
|
| 1393 |
+
"loss": 0.0013,
|
| 1394 |
+
"step": 1552
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 173.32,
|
| 1398 |
+
"learning_rate": 0.0001,
|
| 1399 |
+
"loss": 0.001,
|
| 1400 |
+
"step": 1560
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 174.21,
|
| 1404 |
+
"learning_rate": 0.0001,
|
| 1405 |
+
"loss": 0.0008,
|
| 1406 |
+
"step": 1568
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 175.11,
|
| 1410 |
+
"learning_rate": 0.0001,
|
| 1411 |
+
"loss": 0.0008,
|
| 1412 |
+
"step": 1576
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 175.97,
|
| 1416 |
+
"learning_rate": 0.0001,
|
| 1417 |
+
"loss": 0.0014,
|
| 1418 |
+
"step": 1584
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 176.86,
|
| 1422 |
+
"learning_rate": 0.0001,
|
| 1423 |
+
"loss": 0.0008,
|
| 1424 |
+
"step": 1592
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 177.75,
|
| 1428 |
+
"learning_rate": 0.0001,
|
| 1429 |
+
"loss": 0.0011,
|
| 1430 |
+
"step": 1600
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 177.75,
|
| 1434 |
+
"eval_exact_match": 0.6251039068994181,
|
| 1435 |
+
"eval_exec": 0.6674979218620116,
|
| 1436 |
+
"eval_loss": 0.37738731503486633,
|
| 1437 |
+
"eval_runtime": 559.3099,
|
| 1438 |
+
"eval_samples_per_second": 2.905,
|
| 1439 |
+
"step": 1600
|
| 1440 |
+
},
|
| 1441 |
+
{
|
| 1442 |
+
"epoch": 178.64,
|
| 1443 |
+
"learning_rate": 0.0001,
|
| 1444 |
+
"loss": 0.0007,
|
| 1445 |
+
"step": 1608
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 179.54,
|
| 1449 |
+
"learning_rate": 0.0001,
|
| 1450 |
+
"loss": 0.001,
|
| 1451 |
+
"step": 1616
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 180.43,
|
| 1455 |
+
"learning_rate": 0.0001,
|
| 1456 |
+
"loss": 0.0008,
|
| 1457 |
+
"step": 1624
|
| 1458 |
+
},
|
| 1459 |
+
{
|
| 1460 |
+
"epoch": 181.32,
|
| 1461 |
+
"learning_rate": 0.0001,
|
| 1462 |
+
"loss": 0.0008,
|
| 1463 |
+
"step": 1632
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 182.21,
|
| 1467 |
+
"learning_rate": 0.0001,
|
| 1468 |
+
"loss": 0.001,
|
| 1469 |
+
"step": 1640
|
| 1470 |
+
},
|
| 1471 |
+
{
|
| 1472 |
+
"epoch": 183.11,
|
| 1473 |
+
"learning_rate": 0.0001,
|
| 1474 |
+
"loss": 0.0009,
|
| 1475 |
+
"step": 1648
|
| 1476 |
+
},
|
| 1477 |
+
{
|
| 1478 |
+
"epoch": 183.97,
|
| 1479 |
+
"learning_rate": 0.0001,
|
| 1480 |
+
"loss": 0.003,
|
| 1481 |
+
"step": 1656
|
| 1482 |
+
},
|
| 1483 |
+
{
|
| 1484 |
+
"epoch": 184.86,
|
| 1485 |
+
"learning_rate": 0.0001,
|
| 1486 |
+
"loss": 0.001,
|
| 1487 |
+
"step": 1664
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 184.86,
|
| 1491 |
+
"eval_exact_match": 0.6118038237738986,
|
| 1492 |
+
"eval_exec": 0.6616791354945969,
|
| 1493 |
+
"eval_loss": 0.37692150473594666,
|
| 1494 |
+
"eval_runtime": 654.8531,
|
| 1495 |
+
"eval_samples_per_second": 2.481,
|
| 1496 |
+
"step": 1664
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 185.75,
|
| 1500 |
+
"learning_rate": 0.0001,
|
| 1501 |
+
"loss": 0.0013,
|
| 1502 |
+
"step": 1672
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 186.64,
|
| 1506 |
+
"learning_rate": 0.0001,
|
| 1507 |
+
"loss": 0.001,
|
| 1508 |
+
"step": 1680
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 187.54,
|
| 1512 |
+
"learning_rate": 0.0001,
|
| 1513 |
+
"loss": 0.0009,
|
| 1514 |
+
"step": 1688
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 188.43,
|
| 1518 |
+
"learning_rate": 0.0001,
|
| 1519 |
+
"loss": 0.0022,
|
| 1520 |
+
"step": 1696
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 189.32,
|
| 1524 |
+
"learning_rate": 0.0001,
|
| 1525 |
+
"loss": 0.0011,
|
| 1526 |
+
"step": 1704
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 190.21,
|
| 1530 |
+
"learning_rate": 0.0001,
|
| 1531 |
+
"loss": 0.0009,
|
| 1532 |
+
"step": 1712
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 191.11,
|
| 1536 |
+
"learning_rate": 0.0001,
|
| 1537 |
+
"loss": 0.0009,
|
| 1538 |
+
"step": 1720
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 191.97,
|
| 1542 |
+
"learning_rate": 0.0001,
|
| 1543 |
+
"loss": 0.0009,
|
| 1544 |
+
"step": 1728
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 191.97,
|
| 1548 |
+
"eval_exact_match": 0.6226101413133832,
|
| 1549 |
+
"eval_exec": 0.6758104738154613,
|
| 1550 |
+
"eval_loss": 0.3892926275730133,
|
| 1551 |
+
"eval_runtime": 604.6134,
|
| 1552 |
+
"eval_samples_per_second": 2.688,
|
| 1553 |
+
"step": 1728
|
| 1554 |
+
},
|
| 1555 |
+
{
|
| 1556 |
+
"epoch": 192.86,
|
| 1557 |
+
"learning_rate": 0.0001,
|
| 1558 |
+
"loss": 0.001,
|
| 1559 |
+
"step": 1736
|
| 1560 |
+
},
|
| 1561 |
+
{
|
| 1562 |
+
"epoch": 193.75,
|
| 1563 |
+
"learning_rate": 0.0001,
|
| 1564 |
+
"loss": 0.0009,
|
| 1565 |
+
"step": 1744
|
| 1566 |
+
},
|
| 1567 |
+
{
|
| 1568 |
+
"epoch": 194.64,
|
| 1569 |
+
"learning_rate": 0.0001,
|
| 1570 |
+
"loss": 0.0007,
|
| 1571 |
+
"step": 1752
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 195.54,
|
| 1575 |
+
"learning_rate": 0.0001,
|
| 1576 |
+
"loss": 0.001,
|
| 1577 |
+
"step": 1760
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 196.43,
|
| 1581 |
+
"learning_rate": 0.0001,
|
| 1582 |
+
"loss": 0.0008,
|
| 1583 |
+
"step": 1768
|
| 1584 |
+
},
|
| 1585 |
+
{
|
| 1586 |
+
"epoch": 197.32,
|
| 1587 |
+
"learning_rate": 0.0001,
|
| 1588 |
+
"loss": 0.0009,
|
| 1589 |
+
"step": 1776
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 198.21,
|
| 1593 |
+
"learning_rate": 0.0001,
|
| 1594 |
+
"loss": 0.0008,
|
| 1595 |
+
"step": 1784
|
| 1596 |
+
},
|
| 1597 |
+
{
|
| 1598 |
+
"epoch": 199.11,
|
| 1599 |
+
"learning_rate": 0.0001,
|
| 1600 |
+
"loss": 0.0009,
|
| 1601 |
+
"step": 1792
|
| 1602 |
+
},
|
| 1603 |
+
{
|
| 1604 |
+
"epoch": 199.11,
|
| 1605 |
+
"eval_exact_match": 0.6275976724854531,
|
| 1606 |
+
"eval_exec": 0.6758104738154613,
|
| 1607 |
+
"eval_loss": 0.3943491578102112,
|
| 1608 |
+
"eval_runtime": 616.8463,
|
| 1609 |
+
"eval_samples_per_second": 2.634,
|
| 1610 |
+
"step": 1792
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 199.97,
|
| 1614 |
+
"learning_rate": 0.0001,
|
| 1615 |
+
"loss": 0.0009,
|
| 1616 |
+
"step": 1800
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 200.86,
|
| 1620 |
+
"learning_rate": 0.0001,
|
| 1621 |
+
"loss": 0.0033,
|
| 1622 |
+
"step": 1808
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 201.75,
|
| 1626 |
+
"learning_rate": 0.0001,
|
| 1627 |
+
"loss": 0.0008,
|
| 1628 |
+
"step": 1816
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 202.64,
|
| 1632 |
+
"learning_rate": 0.0001,
|
| 1633 |
+
"loss": 0.002,
|
| 1634 |
+
"step": 1824
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 203.54,
|
| 1638 |
+
"learning_rate": 0.0001,
|
| 1639 |
+
"loss": 0.0011,
|
| 1640 |
+
"step": 1832
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 204.43,
|
| 1644 |
+
"learning_rate": 0.0001,
|
| 1645 |
+
"loss": 0.0014,
|
| 1646 |
+
"step": 1840
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 205.32,
|
| 1650 |
+
"learning_rate": 0.0001,
|
| 1651 |
+
"loss": 0.001,
|
| 1652 |
+
"step": 1848
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 206.21,
|
| 1656 |
+
"learning_rate": 0.0001,
|
| 1657 |
+
"loss": 0.0009,
|
| 1658 |
+
"step": 1856
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 206.21,
|
| 1662 |
+
"eval_exact_match": 0.6350789692435578,
|
| 1663 |
+
"eval_exec": 0.6816292601828762,
|
| 1664 |
+
"eval_loss": 0.3747319281101227,
|
| 1665 |
+
"eval_runtime": 608.1838,
|
| 1666 |
+
"eval_samples_per_second": 2.672,
|
| 1667 |
+
"step": 1856
|
| 1668 |
+
},
|
| 1669 |
+
{
|
| 1670 |
+
"epoch": 207.11,
|
| 1671 |
+
"learning_rate": 0.0001,
|
| 1672 |
+
"loss": 0.0008,
|
| 1673 |
+
"step": 1864
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 207.97,
|
| 1677 |
+
"learning_rate": 0.0001,
|
| 1678 |
+
"loss": 0.0009,
|
| 1679 |
+
"step": 1872
|
| 1680 |
+
},
|
| 1681 |
+
{
|
| 1682 |
+
"epoch": 208.86,
|
| 1683 |
+
"learning_rate": 0.0001,
|
| 1684 |
+
"loss": 0.0009,
|
| 1685 |
+
"step": 1880
|
| 1686 |
+
},
|
| 1687 |
+
{
|
| 1688 |
+
"epoch": 209.75,
|
| 1689 |
+
"learning_rate": 0.0001,
|
| 1690 |
+
"loss": 0.001,
|
| 1691 |
+
"step": 1888
|
| 1692 |
+
},
|
| 1693 |
+
{
|
| 1694 |
+
"epoch": 210.64,
|
| 1695 |
+
"learning_rate": 0.0001,
|
| 1696 |
+
"loss": 0.0013,
|
| 1697 |
+
"step": 1896
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 211.54,
|
| 1701 |
+
"learning_rate": 0.0001,
|
| 1702 |
+
"loss": 0.0204,
|
| 1703 |
+
"step": 1904
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 212.43,
|
| 1707 |
+
"learning_rate": 0.0001,
|
| 1708 |
+
"loss": 0.0007,
|
| 1709 |
+
"step": 1912
|
| 1710 |
+
},
|
| 1711 |
+
{
|
| 1712 |
+
"epoch": 213.32,
|
| 1713 |
+
"learning_rate": 0.0001,
|
| 1714 |
+
"loss": 0.0006,
|
| 1715 |
+
"step": 1920
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 213.32,
|
| 1719 |
+
"eval_exact_match": 0.628428927680798,
|
| 1720 |
+
"eval_exec": 0.6749792186201163,
|
| 1721 |
+
"eval_loss": 0.3832400143146515,
|
| 1722 |
+
"eval_runtime": 602.0466,
|
| 1723 |
+
"eval_samples_per_second": 2.699,
|
| 1724 |
+
"step": 1920
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 214.21,
|
| 1728 |
+
"learning_rate": 0.0001,
|
| 1729 |
+
"loss": 0.0007,
|
| 1730 |
+
"step": 1928
|
| 1731 |
+
},
|
| 1732 |
+
{
|
| 1733 |
+
"epoch": 215.11,
|
| 1734 |
+
"learning_rate": 0.0001,
|
| 1735 |
+
"loss": 0.0007,
|
| 1736 |
+
"step": 1936
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 215.97,
|
| 1740 |
+
"learning_rate": 0.0001,
|
| 1741 |
+
"loss": 0.0008,
|
| 1742 |
+
"step": 1944
|
| 1743 |
+
},
|
| 1744 |
+
{
|
| 1745 |
+
"epoch": 216.86,
|
| 1746 |
+
"learning_rate": 0.0001,
|
| 1747 |
+
"loss": 0.0007,
|
| 1748 |
+
"step": 1952
|
| 1749 |
+
},
|
| 1750 |
+
{
|
| 1751 |
+
"epoch": 217.75,
|
| 1752 |
+
"learning_rate": 0.0001,
|
| 1753 |
+
"loss": 0.0007,
|
| 1754 |
+
"step": 1960
|
| 1755 |
+
},
|
| 1756 |
+
{
|
| 1757 |
+
"epoch": 218.64,
|
| 1758 |
+
"learning_rate": 0.0001,
|
| 1759 |
+
"loss": 0.0007,
|
| 1760 |
+
"step": 1968
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 219.54,
|
| 1764 |
+
"learning_rate": 0.0001,
|
| 1765 |
+
"loss": 0.0008,
|
| 1766 |
+
"step": 1976
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 220.43,
|
| 1770 |
+
"learning_rate": 0.0001,
|
| 1771 |
+
"loss": 0.0007,
|
| 1772 |
+
"step": 1984
|
| 1773 |
+
},
|
| 1774 |
+
{
|
| 1775 |
+
"epoch": 220.43,
|
| 1776 |
+
"eval_exact_match": 0.6275976724854531,
|
| 1777 |
+
"eval_exec": 0.6758104738154613,
|
| 1778 |
+
"eval_loss": 0.3946389853954315,
|
| 1779 |
+
"eval_runtime": 614.3111,
|
| 1780 |
+
"eval_samples_per_second": 2.645,
|
| 1781 |
+
"step": 1984
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 221.32,
|
| 1785 |
+
"learning_rate": 0.0001,
|
| 1786 |
+
"loss": 0.0007,
|
| 1787 |
+
"step": 1992
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 222.21,
|
| 1791 |
+
"learning_rate": 0.0001,
|
| 1792 |
+
"loss": 0.0007,
|
| 1793 |
+
"step": 2000
|
| 1794 |
+
},
|
| 1795 |
+
{
|
| 1796 |
+
"epoch": 223.11,
|
| 1797 |
+
"learning_rate": 0.0001,
|
| 1798 |
+
"loss": 0.0006,
|
| 1799 |
+
"step": 2008
|
| 1800 |
+
},
|
| 1801 |
+
{
|
| 1802 |
+
"epoch": 223.97,
|
| 1803 |
+
"learning_rate": 0.0001,
|
| 1804 |
+
"loss": 0.0007,
|
| 1805 |
+
"step": 2016
|
| 1806 |
+
},
|
| 1807 |
+
{
|
| 1808 |
+
"epoch": 224.86,
|
| 1809 |
+
"learning_rate": 0.0001,
|
| 1810 |
+
"loss": 0.0006,
|
| 1811 |
+
"step": 2024
|
| 1812 |
+
},
|
| 1813 |
+
{
|
| 1814 |
+
"epoch": 225.75,
|
| 1815 |
+
"learning_rate": 0.0001,
|
| 1816 |
+
"loss": 0.0085,
|
| 1817 |
+
"step": 2032
|
| 1818 |
+
},
|
| 1819 |
+
{
|
| 1820 |
+
"epoch": 226.64,
|
| 1821 |
+
"learning_rate": 0.0001,
|
| 1822 |
+
"loss": 0.0028,
|
| 1823 |
+
"step": 2040
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 227.54,
|
| 1827 |
+
"learning_rate": 0.0001,
|
| 1828 |
+
"loss": 0.0007,
|
| 1829 |
+
"step": 2048
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 227.54,
|
| 1833 |
+
"eval_exact_match": 0.6334164588528678,
|
| 1834 |
+
"eval_exec": 0.6749792186201163,
|
| 1835 |
+
"eval_loss": 0.3720964789390564,
|
| 1836 |
+
"eval_runtime": 625.9541,
|
| 1837 |
+
"eval_samples_per_second": 2.596,
|
| 1838 |
+
"step": 2048
|
| 1839 |
+
},
|
| 1840 |
+
{
|
| 1841 |
+
"epoch": 228.43,
|
| 1842 |
+
"learning_rate": 0.0001,
|
| 1843 |
+
"loss": 0.0007,
|
| 1844 |
+
"step": 2056
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 229.32,
|
| 1848 |
+
"learning_rate": 0.0001,
|
| 1849 |
+
"loss": 0.0006,
|
| 1850 |
+
"step": 2064
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 230.21,
|
| 1854 |
+
"learning_rate": 0.0001,
|
| 1855 |
+
"loss": 0.0006,
|
| 1856 |
+
"step": 2072
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 231.11,
|
| 1860 |
+
"learning_rate": 0.0001,
|
| 1861 |
+
"loss": 0.0007,
|
| 1862 |
+
"step": 2080
|
| 1863 |
+
},
|
| 1864 |
+
{
|
| 1865 |
+
"epoch": 231.97,
|
| 1866 |
+
"learning_rate": 0.0001,
|
| 1867 |
+
"loss": 0.0005,
|
| 1868 |
+
"step": 2088
|
| 1869 |
+
},
|
| 1870 |
+
{
|
| 1871 |
+
"epoch": 232.86,
|
| 1872 |
+
"learning_rate": 0.0001,
|
| 1873 |
+
"loss": 0.0006,
|
| 1874 |
+
"step": 2096
|
| 1875 |
+
},
|
| 1876 |
+
{
|
| 1877 |
+
"epoch": 233.75,
|
| 1878 |
+
"learning_rate": 0.0001,
|
| 1879 |
+
"loss": 0.0006,
|
| 1880 |
+
"step": 2104
|
| 1881 |
+
},
|
| 1882 |
+
{
|
| 1883 |
+
"epoch": 234.64,
|
| 1884 |
+
"learning_rate": 0.0001,
|
| 1885 |
+
"loss": 0.0008,
|
| 1886 |
+
"step": 2112
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 234.64,
|
| 1890 |
+
"eval_exact_match": 0.6226101413133832,
|
| 1891 |
+
"eval_exec": 0.6766417290108063,
|
| 1892 |
+
"eval_loss": 0.3971711993217468,
|
| 1893 |
+
"eval_runtime": 618.6026,
|
| 1894 |
+
"eval_samples_per_second": 2.627,
|
| 1895 |
+
"step": 2112
|
| 1896 |
+
},
|
| 1897 |
+
{
|
| 1898 |
+
"epoch": 235.54,
|
| 1899 |
+
"learning_rate": 0.0001,
|
| 1900 |
+
"loss": 0.0009,
|
| 1901 |
+
"step": 2120
|
| 1902 |
+
},
|
| 1903 |
+
{
|
| 1904 |
+
"epoch": 236.43,
|
| 1905 |
+
"learning_rate": 0.0001,
|
| 1906 |
+
"loss": 0.0006,
|
| 1907 |
+
"step": 2128
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 237.32,
|
| 1911 |
+
"learning_rate": 0.0001,
|
| 1912 |
+
"loss": 0.0008,
|
| 1913 |
+
"step": 2136
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 238.21,
|
| 1917 |
+
"learning_rate": 0.0001,
|
| 1918 |
+
"loss": 0.0006,
|
| 1919 |
+
"step": 2144
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 239.11,
|
| 1923 |
+
"learning_rate": 0.0001,
|
| 1924 |
+
"loss": 0.0006,
|
| 1925 |
+
"step": 2152
|
| 1926 |
+
},
|
| 1927 |
+
{
|
| 1928 |
+
"epoch": 239.97,
|
| 1929 |
+
"learning_rate": 0.0001,
|
| 1930 |
+
"loss": 0.0007,
|
| 1931 |
+
"step": 2160
|
| 1932 |
+
},
|
| 1933 |
+
{
|
| 1934 |
+
"epoch": 240.86,
|
| 1935 |
+
"learning_rate": 0.0001,
|
| 1936 |
+
"loss": 0.0007,
|
| 1937 |
+
"step": 2168
|
| 1938 |
+
},
|
| 1939 |
+
{
|
| 1940 |
+
"epoch": 241.75,
|
| 1941 |
+
"learning_rate": 0.0001,
|
| 1942 |
+
"loss": 0.0021,
|
| 1943 |
+
"step": 2176
|
| 1944 |
+
},
|
| 1945 |
+
{
|
| 1946 |
+
"epoch": 241.75,
|
| 1947 |
+
"eval_exact_match": 0.6292601828761429,
|
| 1948 |
+
"eval_exec": 0.6783042394014963,
|
| 1949 |
+
"eval_loss": 0.3668304681777954,
|
| 1950 |
+
"eval_runtime": 553.3572,
|
| 1951 |
+
"eval_samples_per_second": 2.937,
|
| 1952 |
+
"step": 2176
|
| 1953 |
+
},
|
| 1954 |
+
{
|
| 1955 |
+
"epoch": 242.64,
|
| 1956 |
+
"learning_rate": 0.0001,
|
| 1957 |
+
"loss": 0.0006,
|
| 1958 |
+
"step": 2184
|
| 1959 |
+
},
|
| 1960 |
+
{
|
| 1961 |
+
"epoch": 243.54,
|
| 1962 |
+
"learning_rate": 0.0001,
|
| 1963 |
+
"loss": 0.0017,
|
| 1964 |
+
"step": 2192
|
| 1965 |
+
},
|
| 1966 |
+
{
|
| 1967 |
+
"epoch": 244.43,
|
| 1968 |
+
"learning_rate": 0.0001,
|
| 1969 |
+
"loss": 0.0007,
|
| 1970 |
+
"step": 2200
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 245.32,
|
| 1974 |
+
"learning_rate": 0.0001,
|
| 1975 |
+
"loss": 0.0008,
|
| 1976 |
+
"step": 2208
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 246.21,
|
| 1980 |
+
"learning_rate": 0.0001,
|
| 1981 |
+
"loss": 0.0008,
|
| 1982 |
+
"step": 2216
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 247.11,
|
| 1986 |
+
"learning_rate": 0.0001,
|
| 1987 |
+
"loss": 0.0006,
|
| 1988 |
+
"step": 2224
|
| 1989 |
+
},
|
| 1990 |
+
{
|
| 1991 |
+
"epoch": 247.97,
|
| 1992 |
+
"learning_rate": 0.0001,
|
| 1993 |
+
"loss": 0.0006,
|
| 1994 |
+
"step": 2232
|
| 1995 |
+
},
|
| 1996 |
+
{
|
| 1997 |
+
"epoch": 248.86,
|
| 1998 |
+
"learning_rate": 0.0001,
|
| 1999 |
+
"loss": 0.0007,
|
| 2000 |
+
"step": 2240
|
| 2001 |
+
},
|
| 2002 |
+
{
|
| 2003 |
+
"epoch": 248.86,
|
| 2004 |
+
"eval_exact_match": 0.6217788861180382,
|
| 2005 |
+
"eval_exec": 0.6741479634247715,
|
| 2006 |
+
"eval_loss": 0.3940756320953369,
|
| 2007 |
+
"eval_runtime": 599.5801,
|
| 2008 |
+
"eval_samples_per_second": 2.71,
|
| 2009 |
+
"step": 2240
|
| 2010 |
+
},
|
| 2011 |
+
{
|
| 2012 |
+
"epoch": 249.75,
|
| 2013 |
+
"learning_rate": 0.0001,
|
| 2014 |
+
"loss": 0.0007,
|
| 2015 |
+
"step": 2248
|
| 2016 |
+
},
|
| 2017 |
+
{
|
| 2018 |
+
"epoch": 250.64,
|
| 2019 |
+
"learning_rate": 0.0001,
|
| 2020 |
+
"loss": 0.0007,
|
| 2021 |
+
"step": 2256
|
| 2022 |
+
},
|
| 2023 |
+
{
|
| 2024 |
+
"epoch": 251.54,
|
| 2025 |
+
"learning_rate": 0.0001,
|
| 2026 |
+
"loss": 0.0007,
|
| 2027 |
+
"step": 2264
|
| 2028 |
+
},
|
| 2029 |
+
{
|
| 2030 |
+
"epoch": 252.43,
|
| 2031 |
+
"learning_rate": 0.0001,
|
| 2032 |
+
"loss": 0.0007,
|
| 2033 |
+
"step": 2272
|
| 2034 |
+
},
|
| 2035 |
+
{
|
| 2036 |
+
"epoch": 253.32,
|
| 2037 |
+
"learning_rate": 0.0001,
|
| 2038 |
+
"loss": 0.0007,
|
| 2039 |
+
"step": 2280
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 254.21,
|
| 2043 |
+
"learning_rate": 0.0001,
|
| 2044 |
+
"loss": 0.0006,
|
| 2045 |
+
"step": 2288
|
| 2046 |
+
},
|
| 2047 |
+
{
|
| 2048 |
+
"epoch": 255.11,
|
| 2049 |
+
"learning_rate": 0.0001,
|
| 2050 |
+
"loss": 0.0006,
|
| 2051 |
+
"step": 2296
|
| 2052 |
+
},
|
| 2053 |
+
{
|
| 2054 |
+
"epoch": 255.97,
|
| 2055 |
+
"learning_rate": 0.0001,
|
| 2056 |
+
"loss": 0.0006,
|
| 2057 |
+
"step": 2304
|
| 2058 |
+
},
|
| 2059 |
+
{
|
| 2060 |
+
"epoch": 255.97,
|
| 2061 |
+
"eval_exact_match": 0.6359102244389028,
|
| 2062 |
+
"eval_exec": 0.686616791354946,
|
| 2063 |
+
"eval_loss": 0.39379316568374634,
|
| 2064 |
+
"eval_runtime": 602.7618,
|
| 2065 |
+
"eval_samples_per_second": 2.696,
|
| 2066 |
+
"step": 2304
|
| 2067 |
+
}
|
| 2068 |
+
],
|
| 2069 |
+
"max_steps": 27648,
|
| 2070 |
+
"num_train_epochs": 3072,
|
| 2071 |
+
"total_flos": 1.7577156158550966e+19,
|
| 2072 |
+
"trial_name": null,
|
| 2073 |
+
"trial_params": null
|
| 2074 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e93f286a6e00a4925bce29e7e7d788007d56bf677afec65728af3c30fd4a1b7c
|
| 3 |
+
size 3247
|