Training in progress, epoch 43, checkpoint
Browse files- checkpoint-10750/README.md +9 -0
- checkpoint-10750/adapter_config.json +25 -0
- checkpoint-10750/adapter_model.safetensors +3 -0
- checkpoint-10750/added_tokens.json +5 -0
- checkpoint-10750/merges.txt +0 -0
- checkpoint-10750/optimizer.pt +3 -0
- checkpoint-10750/rng_state_0.pth +3 -0
- checkpoint-10750/rng_state_1.pth +3 -0
- checkpoint-10750/rng_state_2.pth +3 -0
- checkpoint-10750/rng_state_3.pth +3 -0
- checkpoint-10750/scheduler.pt +3 -0
- checkpoint-10750/special_tokens_map.json +14 -0
- checkpoint-10750/tokenizer.json +0 -0
- checkpoint-10750/tokenizer_config.json +43 -0
- checkpoint-10750/trainer_state.json +1427 -0
- checkpoint-10750/training_args.bin +3 -0
- checkpoint-10750/vocab.json +0 -0
checkpoint-10750/README.md
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
### Framework versions
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
- PEFT 0.5.0
|
checkpoint-10750/adapter_config.json
ADDED
|
@@ -0,0 +1,25 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "Qwen/Qwen1.5-4B",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 16,
|
| 11 |
+
"lora_dropout": 0.05,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 16,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"q_proj",
|
| 18 |
+
"k_proj",
|
| 19 |
+
"v_proj",
|
| 20 |
+
"down_proj",
|
| 21 |
+
"gate_proj",
|
| 22 |
+
"up_proj"
|
| 23 |
+
],
|
| 24 |
+
"task_type": "CAUSAL_LM"
|
| 25 |
+
}
|
checkpoint-10750/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd56c511b2715ac210fa5005ddf7403a4d441be6ffd74cd4e2f28b10a3a816a2
|
| 3 |
+
size 112130416
|
checkpoint-10750/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<|endoftext|>": 151643,
|
| 3 |
+
"<|im_end|>": 151645,
|
| 4 |
+
"<|im_start|>": 151644
|
| 5 |
+
}
|
checkpoint-10750/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-10750/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:09f8d50946f55520a0f4cbb8f3c2500e97808d8b8a94861ceafddddcff501448
|
| 3 |
+
size 224537202
|
checkpoint-10750/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e2d8c4f659ccf1b1869b06fd72ba8d6ba7b743e72aeac817cfdd7aee94a920d
|
| 3 |
+
size 15024
|
checkpoint-10750/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd4e1eb83d44a2d3df608768f915a8593094477db9ca2dfd849d14078964114d
|
| 3 |
+
size 15024
|
checkpoint-10750/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:375fdaf08d181420eb16a68b71635aee2440d6a6eb3efb319411388a8af04195
|
| 3 |
+
size 15024
|
checkpoint-10750/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c809391db2de47a3789e03dfdc90bc4daa3870da2084f7330a90652693e28f91
|
| 3 |
+
size 15024
|
checkpoint-10750/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:858374c1691169dc8444c89580110bd228f34cf0709fe486b06222abe465128c
|
| 3 |
+
size 1064
|
checkpoint-10750/special_tokens_map.json
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>"
|
| 5 |
+
],
|
| 6 |
+
"eos_token": {
|
| 7 |
+
"content": "<|endoftext|>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false
|
| 12 |
+
},
|
| 13 |
+
"pad_token": "<|endoftext|>"
|
| 14 |
+
}
|
checkpoint-10750/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-10750/tokenizer_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
}
|
| 28 |
+
},
|
| 29 |
+
"additional_special_tokens": [
|
| 30 |
+
"<|im_start|>",
|
| 31 |
+
"<|im_end|>"
|
| 32 |
+
],
|
| 33 |
+
"bos_token": null,
|
| 34 |
+
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
+
"clean_up_tokenization_spaces": false,
|
| 36 |
+
"eos_token": "<|endoftext|>",
|
| 37 |
+
"errors": "replace",
|
| 38 |
+
"model_max_length": 32768,
|
| 39 |
+
"pad_token": "<|endoftext|>",
|
| 40 |
+
"split_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 42 |
+
"unk_token": null
|
| 43 |
+
}
|
checkpoint-10750/trainer_state.json
ADDED
|
@@ -0,0 +1,1427 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 43.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 10750,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.4,
|
| 13 |
+
"grad_norm": 0.5897082090377808,
|
| 14 |
+
"learning_rate": 0.0001,
|
| 15 |
+
"loss": 2.3566,
|
| 16 |
+
"step": 100
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.8,
|
| 20 |
+
"grad_norm": 0.5390245914459229,
|
| 21 |
+
"learning_rate": 0.0001,
|
| 22 |
+
"loss": 2.2503,
|
| 23 |
+
"step": 200
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 1.0,
|
| 27 |
+
"eval_accuracy": 0.5155873015873016,
|
| 28 |
+
"eval_loss": 2.3237216472625732,
|
| 29 |
+
"eval_runtime": 6.3164,
|
| 30 |
+
"eval_samples_per_second": 79.159,
|
| 31 |
+
"eval_steps_per_second": 9.974,
|
| 32 |
+
"step": 250
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 1.0,
|
| 36 |
+
"eval_exact_match": 17.2,
|
| 37 |
+
"eval_f1": 25.586581359816655,
|
| 38 |
+
"step": 250
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.2,
|
| 42 |
+
"grad_norm": 0.7468857169151306,
|
| 43 |
+
"learning_rate": 0.0001,
|
| 44 |
+
"loss": 2.1798,
|
| 45 |
+
"step": 300
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 1.6,
|
| 49 |
+
"grad_norm": 0.9109599590301514,
|
| 50 |
+
"learning_rate": 0.0001,
|
| 51 |
+
"loss": 2.1094,
|
| 52 |
+
"step": 400
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 2.0,
|
| 56 |
+
"grad_norm": 0.8458774089813232,
|
| 57 |
+
"learning_rate": 0.0001,
|
| 58 |
+
"loss": 2.087,
|
| 59 |
+
"step": 500
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 2.0,
|
| 63 |
+
"eval_accuracy": 0.5163809523809524,
|
| 64 |
+
"eval_loss": 2.3309242725372314,
|
| 65 |
+
"eval_runtime": 5.1896,
|
| 66 |
+
"eval_samples_per_second": 96.347,
|
| 67 |
+
"eval_steps_per_second": 12.14,
|
| 68 |
+
"step": 500
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 2.0,
|
| 72 |
+
"eval_exact_match": 18.6,
|
| 73 |
+
"eval_f1": 26.043196248196264,
|
| 74 |
+
"step": 500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 2.4,
|
| 78 |
+
"grad_norm": 1.171212077140808,
|
| 79 |
+
"learning_rate": 0.0001,
|
| 80 |
+
"loss": 1.8413,
|
| 81 |
+
"step": 600
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 2.8,
|
| 85 |
+
"grad_norm": 1.1294909715652466,
|
| 86 |
+
"learning_rate": 0.0001,
|
| 87 |
+
"loss": 1.849,
|
| 88 |
+
"step": 700
|
| 89 |
+
},
|
| 90 |
+
{
|
| 91 |
+
"epoch": 3.0,
|
| 92 |
+
"eval_accuracy": 0.5144761904761905,
|
| 93 |
+
"eval_loss": 2.401942253112793,
|
| 94 |
+
"eval_runtime": 5.5775,
|
| 95 |
+
"eval_samples_per_second": 89.646,
|
| 96 |
+
"eval_steps_per_second": 11.295,
|
| 97 |
+
"step": 750
|
| 98 |
+
},
|
| 99 |
+
{
|
| 100 |
+
"epoch": 3.0,
|
| 101 |
+
"eval_exact_match": 18.4,
|
| 102 |
+
"eval_f1": 26.966370002546494,
|
| 103 |
+
"step": 750
|
| 104 |
+
},
|
| 105 |
+
{
|
| 106 |
+
"epoch": 3.2,
|
| 107 |
+
"grad_norm": 1.5013824701309204,
|
| 108 |
+
"learning_rate": 0.0001,
|
| 109 |
+
"loss": 1.7322,
|
| 110 |
+
"step": 800
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 3.6,
|
| 114 |
+
"grad_norm": 1.4516321420669556,
|
| 115 |
+
"learning_rate": 0.0001,
|
| 116 |
+
"loss": 1.5908,
|
| 117 |
+
"step": 900
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 4.0,
|
| 121 |
+
"grad_norm": 1.6037466526031494,
|
| 122 |
+
"learning_rate": 0.0001,
|
| 123 |
+
"loss": 1.6193,
|
| 124 |
+
"step": 1000
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"epoch": 4.0,
|
| 128 |
+
"eval_accuracy": 0.5103809523809524,
|
| 129 |
+
"eval_loss": 2.5039021968841553,
|
| 130 |
+
"eval_runtime": 5.1568,
|
| 131 |
+
"eval_samples_per_second": 96.96,
|
| 132 |
+
"eval_steps_per_second": 12.217,
|
| 133 |
+
"step": 1000
|
| 134 |
+
},
|
| 135 |
+
{
|
| 136 |
+
"epoch": 4.0,
|
| 137 |
+
"eval_exact_match": 18.4,
|
| 138 |
+
"eval_f1": 26.892813852813866,
|
| 139 |
+
"step": 1000
|
| 140 |
+
},
|
| 141 |
+
{
|
| 142 |
+
"epoch": 4.4,
|
| 143 |
+
"grad_norm": 1.7909170389175415,
|
| 144 |
+
"learning_rate": 0.0001,
|
| 145 |
+
"loss": 1.3298,
|
| 146 |
+
"step": 1100
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 4.8,
|
| 150 |
+
"grad_norm": 1.9236161708831787,
|
| 151 |
+
"learning_rate": 0.0001,
|
| 152 |
+
"loss": 1.3666,
|
| 153 |
+
"step": 1200
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 5.0,
|
| 157 |
+
"eval_accuracy": 0.505015873015873,
|
| 158 |
+
"eval_loss": 2.6543924808502197,
|
| 159 |
+
"eval_runtime": 5.5115,
|
| 160 |
+
"eval_samples_per_second": 90.719,
|
| 161 |
+
"eval_steps_per_second": 11.431,
|
| 162 |
+
"step": 1250
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"epoch": 5.0,
|
| 166 |
+
"eval_exact_match": 18.4,
|
| 167 |
+
"eval_f1": 25.875286609941792,
|
| 168 |
+
"step": 1250
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"epoch": 5.2,
|
| 172 |
+
"grad_norm": 1.8524874448776245,
|
| 173 |
+
"learning_rate": 0.0001,
|
| 174 |
+
"loss": 1.2381,
|
| 175 |
+
"step": 1300
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"epoch": 5.6,
|
| 179 |
+
"grad_norm": 2.1092071533203125,
|
| 180 |
+
"learning_rate": 0.0001,
|
| 181 |
+
"loss": 1.1141,
|
| 182 |
+
"step": 1400
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 6.0,
|
| 186 |
+
"grad_norm": 2.065767288208008,
|
| 187 |
+
"learning_rate": 0.0001,
|
| 188 |
+
"loss": 1.1435,
|
| 189 |
+
"step": 1500
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 6.0,
|
| 193 |
+
"eval_accuracy": 0.5010793650793651,
|
| 194 |
+
"eval_loss": 2.843566656112671,
|
| 195 |
+
"eval_runtime": 5.1394,
|
| 196 |
+
"eval_samples_per_second": 97.287,
|
| 197 |
+
"eval_steps_per_second": 12.258,
|
| 198 |
+
"step": 1500
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 6.0,
|
| 202 |
+
"eval_exact_match": 17.4,
|
| 203 |
+
"eval_f1": 24.31514874014875,
|
| 204 |
+
"step": 1500
|
| 205 |
+
},
|
| 206 |
+
{
|
| 207 |
+
"epoch": 6.4,
|
| 208 |
+
"grad_norm": 2.329406261444092,
|
| 209 |
+
"learning_rate": 0.0001,
|
| 210 |
+
"loss": 0.8887,
|
| 211 |
+
"step": 1600
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 6.8,
|
| 215 |
+
"grad_norm": 2.489598274230957,
|
| 216 |
+
"learning_rate": 0.0001,
|
| 217 |
+
"loss": 0.9171,
|
| 218 |
+
"step": 1700
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 7.0,
|
| 222 |
+
"eval_accuracy": 0.49707936507936507,
|
| 223 |
+
"eval_loss": 3.0319864749908447,
|
| 224 |
+
"eval_runtime": 5.3015,
|
| 225 |
+
"eval_samples_per_second": 94.313,
|
| 226 |
+
"eval_steps_per_second": 11.883,
|
| 227 |
+
"step": 1750
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 7.0,
|
| 231 |
+
"eval_exact_match": 16.0,
|
| 232 |
+
"eval_f1": 22.824985569985575,
|
| 233 |
+
"step": 1750
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 7.2,
|
| 237 |
+
"grad_norm": 2.764033794403076,
|
| 238 |
+
"learning_rate": 0.0001,
|
| 239 |
+
"loss": 0.8093,
|
| 240 |
+
"step": 1800
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 7.6,
|
| 244 |
+
"grad_norm": 2.5643441677093506,
|
| 245 |
+
"learning_rate": 0.0001,
|
| 246 |
+
"loss": 0.724,
|
| 247 |
+
"step": 1900
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 8.0,
|
| 251 |
+
"grad_norm": 2.074833631515503,
|
| 252 |
+
"learning_rate": 0.0001,
|
| 253 |
+
"loss": 0.7531,
|
| 254 |
+
"step": 2000
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 8.0,
|
| 258 |
+
"eval_accuracy": 0.49304761904761907,
|
| 259 |
+
"eval_loss": 3.2584712505340576,
|
| 260 |
+
"eval_runtime": 5.2945,
|
| 261 |
+
"eval_samples_per_second": 94.438,
|
| 262 |
+
"eval_steps_per_second": 11.899,
|
| 263 |
+
"step": 2000
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 8.0,
|
| 267 |
+
"eval_exact_match": 15.0,
|
| 268 |
+
"eval_f1": 21.895264180264185,
|
| 269 |
+
"step": 2000
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 8.4,
|
| 273 |
+
"grad_norm": 2.649679660797119,
|
| 274 |
+
"learning_rate": 0.0001,
|
| 275 |
+
"loss": 0.5777,
|
| 276 |
+
"step": 2100
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 8.8,
|
| 280 |
+
"grad_norm": 2.1969234943389893,
|
| 281 |
+
"learning_rate": 0.0001,
|
| 282 |
+
"loss": 0.6101,
|
| 283 |
+
"step": 2200
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 9.0,
|
| 287 |
+
"eval_accuracy": 0.4925079365079365,
|
| 288 |
+
"eval_loss": 3.3418095111846924,
|
| 289 |
+
"eval_runtime": 5.1381,
|
| 290 |
+
"eval_samples_per_second": 97.312,
|
| 291 |
+
"eval_steps_per_second": 12.261,
|
| 292 |
+
"step": 2250
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"epoch": 9.0,
|
| 296 |
+
"eval_exact_match": 14.4,
|
| 297 |
+
"eval_f1": 21.76202020202021,
|
| 298 |
+
"step": 2250
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 9.2,
|
| 302 |
+
"grad_norm": 1.8318747282028198,
|
| 303 |
+
"learning_rate": 0.0001,
|
| 304 |
+
"loss": 0.555,
|
| 305 |
+
"step": 2300
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 9.6,
|
| 309 |
+
"grad_norm": 1.9915804862976074,
|
| 310 |
+
"learning_rate": 0.0001,
|
| 311 |
+
"loss": 0.5102,
|
| 312 |
+
"step": 2400
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 10.0,
|
| 316 |
+
"grad_norm": 2.1287789344787598,
|
| 317 |
+
"learning_rate": 0.0001,
|
| 318 |
+
"loss": 0.5392,
|
| 319 |
+
"step": 2500
|
| 320 |
+
},
|
| 321 |
+
{
|
| 322 |
+
"epoch": 10.0,
|
| 323 |
+
"eval_accuracy": 0.4915555555555556,
|
| 324 |
+
"eval_loss": 3.537275791168213,
|
| 325 |
+
"eval_runtime": 5.1264,
|
| 326 |
+
"eval_samples_per_second": 97.534,
|
| 327 |
+
"eval_steps_per_second": 12.289,
|
| 328 |
+
"step": 2500
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 10.0,
|
| 332 |
+
"eval_exact_match": 15.4,
|
| 333 |
+
"eval_f1": 22.23013114336644,
|
| 334 |
+
"step": 2500
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 10.4,
|
| 338 |
+
"grad_norm": 1.6748021841049194,
|
| 339 |
+
"learning_rate": 0.0001,
|
| 340 |
+
"loss": 0.4426,
|
| 341 |
+
"step": 2600
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 10.8,
|
| 345 |
+
"grad_norm": 1.8744910955429077,
|
| 346 |
+
"learning_rate": 0.0001,
|
| 347 |
+
"loss": 0.4718,
|
| 348 |
+
"step": 2700
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 11.0,
|
| 352 |
+
"eval_accuracy": 0.48926984126984124,
|
| 353 |
+
"eval_loss": 3.631282091140747,
|
| 354 |
+
"eval_runtime": 5.3142,
|
| 355 |
+
"eval_samples_per_second": 94.087,
|
| 356 |
+
"eval_steps_per_second": 11.855,
|
| 357 |
+
"step": 2750
|
| 358 |
+
},
|
| 359 |
+
{
|
| 360 |
+
"epoch": 11.0,
|
| 361 |
+
"eval_exact_match": 15.6,
|
| 362 |
+
"eval_f1": 21.87386002886003,
|
| 363 |
+
"step": 2750
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 11.2,
|
| 367 |
+
"grad_norm": 2.1398115158081055,
|
| 368 |
+
"learning_rate": 0.0001,
|
| 369 |
+
"loss": 0.4456,
|
| 370 |
+
"step": 2800
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 11.6,
|
| 374 |
+
"grad_norm": 1.8851490020751953,
|
| 375 |
+
"learning_rate": 0.0001,
|
| 376 |
+
"loss": 0.4328,
|
| 377 |
+
"step": 2900
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 12.0,
|
| 381 |
+
"grad_norm": 1.6958885192871094,
|
| 382 |
+
"learning_rate": 0.0001,
|
| 383 |
+
"loss": 0.4446,
|
| 384 |
+
"step": 3000
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 12.0,
|
| 388 |
+
"eval_accuracy": 0.49057142857142855,
|
| 389 |
+
"eval_loss": 3.6736366748809814,
|
| 390 |
+
"eval_runtime": 5.8652,
|
| 391 |
+
"eval_samples_per_second": 85.248,
|
| 392 |
+
"eval_steps_per_second": 10.741,
|
| 393 |
+
"step": 3000
|
| 394 |
+
},
|
| 395 |
+
{
|
| 396 |
+
"epoch": 12.0,
|
| 397 |
+
"eval_exact_match": 15.2,
|
| 398 |
+
"eval_f1": 21.81304966962862,
|
| 399 |
+
"step": 3000
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 12.4,
|
| 403 |
+
"grad_norm": 1.8530863523483276,
|
| 404 |
+
"learning_rate": 0.0001,
|
| 405 |
+
"loss": 0.3969,
|
| 406 |
+
"step": 3100
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 12.8,
|
| 410 |
+
"grad_norm": 1.9440696239471436,
|
| 411 |
+
"learning_rate": 0.0001,
|
| 412 |
+
"loss": 0.4204,
|
| 413 |
+
"step": 3200
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 13.0,
|
| 417 |
+
"eval_accuracy": 0.4906031746031746,
|
| 418 |
+
"eval_loss": 3.7342090606689453,
|
| 419 |
+
"eval_runtime": 5.4947,
|
| 420 |
+
"eval_samples_per_second": 90.996,
|
| 421 |
+
"eval_steps_per_second": 11.466,
|
| 422 |
+
"step": 3250
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 13.0,
|
| 426 |
+
"eval_exact_match": 15.8,
|
| 427 |
+
"eval_f1": 21.908780663780668,
|
| 428 |
+
"step": 3250
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 13.2,
|
| 432 |
+
"grad_norm": 1.7972825765609741,
|
| 433 |
+
"learning_rate": 0.0001,
|
| 434 |
+
"loss": 0.4036,
|
| 435 |
+
"step": 3300
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 13.6,
|
| 439 |
+
"grad_norm": 1.6307235956192017,
|
| 440 |
+
"learning_rate": 0.0001,
|
| 441 |
+
"loss": 0.3929,
|
| 442 |
+
"step": 3400
|
| 443 |
+
},
|
| 444 |
+
{
|
| 445 |
+
"epoch": 14.0,
|
| 446 |
+
"grad_norm": 2.7257182598114014,
|
| 447 |
+
"learning_rate": 0.0001,
|
| 448 |
+
"loss": 0.4131,
|
| 449 |
+
"step": 3500
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 14.0,
|
| 453 |
+
"eval_accuracy": 0.4897142857142857,
|
| 454 |
+
"eval_loss": 3.7777669429779053,
|
| 455 |
+
"eval_runtime": 5.8394,
|
| 456 |
+
"eval_samples_per_second": 85.626,
|
| 457 |
+
"eval_steps_per_second": 10.789,
|
| 458 |
+
"step": 3500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 14.0,
|
| 462 |
+
"eval_exact_match": 15.0,
|
| 463 |
+
"eval_f1": 21.873367129946075,
|
| 464 |
+
"step": 3500
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 14.4,
|
| 468 |
+
"grad_norm": 1.1628468036651611,
|
| 469 |
+
"learning_rate": 0.0001,
|
| 470 |
+
"loss": 0.3756,
|
| 471 |
+
"step": 3600
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 14.8,
|
| 475 |
+
"grad_norm": 2.109792470932007,
|
| 476 |
+
"learning_rate": 0.0001,
|
| 477 |
+
"loss": 0.3924,
|
| 478 |
+
"step": 3700
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 15.0,
|
| 482 |
+
"eval_accuracy": 0.48965079365079367,
|
| 483 |
+
"eval_loss": 3.820950746536255,
|
| 484 |
+
"eval_runtime": 5.3214,
|
| 485 |
+
"eval_samples_per_second": 93.96,
|
| 486 |
+
"eval_steps_per_second": 11.839,
|
| 487 |
+
"step": 3750
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 15.0,
|
| 491 |
+
"eval_exact_match": 14.6,
|
| 492 |
+
"eval_f1": 22.25867243867245,
|
| 493 |
+
"step": 3750
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 15.2,
|
| 497 |
+
"grad_norm": 1.2581037282943726,
|
| 498 |
+
"learning_rate": 0.0001,
|
| 499 |
+
"loss": 0.3792,
|
| 500 |
+
"step": 3800
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 15.6,
|
| 504 |
+
"grad_norm": 1.0244629383087158,
|
| 505 |
+
"learning_rate": 0.0001,
|
| 506 |
+
"loss": 0.3767,
|
| 507 |
+
"step": 3900
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 16.0,
|
| 511 |
+
"grad_norm": 1.3548619747161865,
|
| 512 |
+
"learning_rate": 0.0001,
|
| 513 |
+
"loss": 0.3913,
|
| 514 |
+
"step": 4000
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 16.0,
|
| 518 |
+
"eval_accuracy": 0.49038095238095236,
|
| 519 |
+
"eval_loss": 3.8832576274871826,
|
| 520 |
+
"eval_runtime": 5.4233,
|
| 521 |
+
"eval_samples_per_second": 92.195,
|
| 522 |
+
"eval_steps_per_second": 11.617,
|
| 523 |
+
"step": 4000
|
| 524 |
+
},
|
| 525 |
+
{
|
| 526 |
+
"epoch": 16.0,
|
| 527 |
+
"eval_exact_match": 15.0,
|
| 528 |
+
"eval_f1": 21.823196411431713,
|
| 529 |
+
"step": 4000
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 16.4,
|
| 533 |
+
"grad_norm": 1.5730881690979004,
|
| 534 |
+
"learning_rate": 0.0001,
|
| 535 |
+
"loss": 0.3606,
|
| 536 |
+
"step": 4100
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 16.8,
|
| 540 |
+
"grad_norm": 1.619290828704834,
|
| 541 |
+
"learning_rate": 0.0001,
|
| 542 |
+
"loss": 0.376,
|
| 543 |
+
"step": 4200
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 17.0,
|
| 547 |
+
"eval_accuracy": 0.4898095238095238,
|
| 548 |
+
"eval_loss": 3.8935556411743164,
|
| 549 |
+
"eval_runtime": 5.3789,
|
| 550 |
+
"eval_samples_per_second": 92.957,
|
| 551 |
+
"eval_steps_per_second": 11.713,
|
| 552 |
+
"step": 4250
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 17.0,
|
| 556 |
+
"eval_exact_match": 15.2,
|
| 557 |
+
"eval_f1": 21.284107517869135,
|
| 558 |
+
"step": 4250
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 17.2,
|
| 562 |
+
"grad_norm": 2.23779559135437,
|
| 563 |
+
"learning_rate": 0.0001,
|
| 564 |
+
"loss": 0.3697,
|
| 565 |
+
"step": 4300
|
| 566 |
+
},
|
| 567 |
+
{
|
| 568 |
+
"epoch": 17.6,
|
| 569 |
+
"grad_norm": 1.2932429313659668,
|
| 570 |
+
"learning_rate": 0.0001,
|
| 571 |
+
"loss": 0.3618,
|
| 572 |
+
"step": 4400
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 18.0,
|
| 576 |
+
"grad_norm": 1.6087582111358643,
|
| 577 |
+
"learning_rate": 0.0001,
|
| 578 |
+
"loss": 0.3785,
|
| 579 |
+
"step": 4500
|
| 580 |
+
},
|
| 581 |
+
{
|
| 582 |
+
"epoch": 18.0,
|
| 583 |
+
"eval_accuracy": 0.49,
|
| 584 |
+
"eval_loss": 3.882444381713867,
|
| 585 |
+
"eval_runtime": 5.3456,
|
| 586 |
+
"eval_samples_per_second": 93.536,
|
| 587 |
+
"eval_steps_per_second": 11.785,
|
| 588 |
+
"step": 4500
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 18.0,
|
| 592 |
+
"eval_exact_match": 15.4,
|
| 593 |
+
"eval_f1": 21.950805305805307,
|
| 594 |
+
"step": 4500
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 18.4,
|
| 598 |
+
"grad_norm": 1.20901620388031,
|
| 599 |
+
"learning_rate": 0.0001,
|
| 600 |
+
"loss": 0.3532,
|
| 601 |
+
"step": 4600
|
| 602 |
+
},
|
| 603 |
+
{
|
| 604 |
+
"epoch": 18.8,
|
| 605 |
+
"grad_norm": 1.3064277172088623,
|
| 606 |
+
"learning_rate": 0.0001,
|
| 607 |
+
"loss": 0.367,
|
| 608 |
+
"step": 4700
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 19.0,
|
| 612 |
+
"eval_accuracy": 0.4900952380952381,
|
| 613 |
+
"eval_loss": 3.972047805786133,
|
| 614 |
+
"eval_runtime": 5.1196,
|
| 615 |
+
"eval_samples_per_second": 97.664,
|
| 616 |
+
"eval_steps_per_second": 12.306,
|
| 617 |
+
"step": 4750
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 19.0,
|
| 621 |
+
"eval_exact_match": 16.4,
|
| 622 |
+
"eval_f1": 23.046717171717184,
|
| 623 |
+
"step": 4750
|
| 624 |
+
},
|
| 625 |
+
{
|
| 626 |
+
"epoch": 19.2,
|
| 627 |
+
"grad_norm": 1.4567475318908691,
|
| 628 |
+
"learning_rate": 0.0001,
|
| 629 |
+
"loss": 0.3578,
|
| 630 |
+
"step": 4800
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 19.6,
|
| 634 |
+
"grad_norm": 1.274679183959961,
|
| 635 |
+
"learning_rate": 0.0001,
|
| 636 |
+
"loss": 0.3588,
|
| 637 |
+
"step": 4900
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 20.0,
|
| 641 |
+
"grad_norm": 1.5081045627593994,
|
| 642 |
+
"learning_rate": 0.0001,
|
| 643 |
+
"loss": 0.3676,
|
| 644 |
+
"step": 5000
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 20.0,
|
| 648 |
+
"eval_accuracy": 0.4908888888888889,
|
| 649 |
+
"eval_loss": 3.937361717224121,
|
| 650 |
+
"eval_runtime": 5.3304,
|
| 651 |
+
"eval_samples_per_second": 93.801,
|
| 652 |
+
"eval_steps_per_second": 11.819,
|
| 653 |
+
"step": 5000
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 20.0,
|
| 657 |
+
"eval_exact_match": 16.2,
|
| 658 |
+
"eval_f1": 22.572724497724508,
|
| 659 |
+
"step": 5000
|
| 660 |
+
},
|
| 661 |
+
{
|
| 662 |
+
"epoch": 20.4,
|
| 663 |
+
"grad_norm": 1.343906044960022,
|
| 664 |
+
"learning_rate": 0.0001,
|
| 665 |
+
"loss": 0.3445,
|
| 666 |
+
"step": 5100
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 20.8,
|
| 670 |
+
"grad_norm": 1.7303237915039062,
|
| 671 |
+
"learning_rate": 0.0001,
|
| 672 |
+
"loss": 0.3602,
|
| 673 |
+
"step": 5200
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 21.0,
|
| 677 |
+
"eval_accuracy": 0.49044444444444446,
|
| 678 |
+
"eval_loss": 3.9380335807800293,
|
| 679 |
+
"eval_runtime": 5.2455,
|
| 680 |
+
"eval_samples_per_second": 95.32,
|
| 681 |
+
"eval_steps_per_second": 12.01,
|
| 682 |
+
"step": 5250
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 21.0,
|
| 686 |
+
"eval_exact_match": 16.4,
|
| 687 |
+
"eval_f1": 23.159069264069274,
|
| 688 |
+
"step": 5250
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 21.2,
|
| 692 |
+
"grad_norm": 1.4770017862319946,
|
| 693 |
+
"learning_rate": 0.0001,
|
| 694 |
+
"loss": 0.3518,
|
| 695 |
+
"step": 5300
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 21.6,
|
| 699 |
+
"grad_norm": 0.7377692461013794,
|
| 700 |
+
"learning_rate": 0.0001,
|
| 701 |
+
"loss": 0.3498,
|
| 702 |
+
"step": 5400
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 22.0,
|
| 706 |
+
"grad_norm": 0.7583816051483154,
|
| 707 |
+
"learning_rate": 0.0001,
|
| 708 |
+
"loss": 0.3639,
|
| 709 |
+
"step": 5500
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 22.0,
|
| 713 |
+
"eval_accuracy": 0.49098412698412697,
|
| 714 |
+
"eval_loss": 3.951629400253296,
|
| 715 |
+
"eval_runtime": 5.1413,
|
| 716 |
+
"eval_samples_per_second": 97.251,
|
| 717 |
+
"eval_steps_per_second": 12.254,
|
| 718 |
+
"step": 5500
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 22.0,
|
| 722 |
+
"eval_exact_match": 16.2,
|
| 723 |
+
"eval_f1": 22.613965478965486,
|
| 724 |
+
"step": 5500
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 22.4,
|
| 728 |
+
"grad_norm": 2.125830888748169,
|
| 729 |
+
"learning_rate": 0.0001,
|
| 730 |
+
"loss": 0.3386,
|
| 731 |
+
"step": 5600
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 22.8,
|
| 735 |
+
"grad_norm": 0.958363950252533,
|
| 736 |
+
"learning_rate": 0.0001,
|
| 737 |
+
"loss": 0.3533,
|
| 738 |
+
"step": 5700
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 23.0,
|
| 742 |
+
"eval_accuracy": 0.4915555555555556,
|
| 743 |
+
"eval_loss": 4.020674228668213,
|
| 744 |
+
"eval_runtime": 5.154,
|
| 745 |
+
"eval_samples_per_second": 97.011,
|
| 746 |
+
"eval_steps_per_second": 12.223,
|
| 747 |
+
"step": 5750
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 23.0,
|
| 751 |
+
"eval_exact_match": 16.6,
|
| 752 |
+
"eval_f1": 21.791541236541246,
|
| 753 |
+
"step": 5750
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 23.2,
|
| 757 |
+
"grad_norm": 1.526780605316162,
|
| 758 |
+
"learning_rate": 0.0001,
|
| 759 |
+
"loss": 0.3437,
|
| 760 |
+
"step": 5800
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 23.6,
|
| 764 |
+
"grad_norm": 1.0150421857833862,
|
| 765 |
+
"learning_rate": 0.0001,
|
| 766 |
+
"loss": 0.341,
|
| 767 |
+
"step": 5900
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 24.0,
|
| 771 |
+
"grad_norm": 0.9590368866920471,
|
| 772 |
+
"learning_rate": 0.0001,
|
| 773 |
+
"loss": 0.3587,
|
| 774 |
+
"step": 6000
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 24.0,
|
| 778 |
+
"eval_accuracy": 0.49165079365079367,
|
| 779 |
+
"eval_loss": 3.990480661392212,
|
| 780 |
+
"eval_runtime": 5.2849,
|
| 781 |
+
"eval_samples_per_second": 94.608,
|
| 782 |
+
"eval_steps_per_second": 11.921,
|
| 783 |
+
"step": 6000
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 24.0,
|
| 787 |
+
"eval_exact_match": 14.8,
|
| 788 |
+
"eval_f1": 20.68870512528408,
|
| 789 |
+
"step": 6000
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 24.4,
|
| 793 |
+
"grad_norm": 0.7218676209449768,
|
| 794 |
+
"learning_rate": 0.0001,
|
| 795 |
+
"loss": 0.3355,
|
| 796 |
+
"step": 6100
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 24.8,
|
| 800 |
+
"grad_norm": 1.0547350645065308,
|
| 801 |
+
"learning_rate": 0.0001,
|
| 802 |
+
"loss": 0.3479,
|
| 803 |
+
"step": 6200
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 25.0,
|
| 807 |
+
"eval_accuracy": 0.4914920634920635,
|
| 808 |
+
"eval_loss": 4.061710357666016,
|
| 809 |
+
"eval_runtime": 5.1785,
|
| 810 |
+
"eval_samples_per_second": 96.553,
|
| 811 |
+
"eval_steps_per_second": 12.166,
|
| 812 |
+
"step": 6250
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 25.0,
|
| 816 |
+
"eval_exact_match": 15.2,
|
| 817 |
+
"eval_f1": 21.924090149616465,
|
| 818 |
+
"step": 6250
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 25.2,
|
| 822 |
+
"grad_norm": 0.8290365934371948,
|
| 823 |
+
"learning_rate": 0.0001,
|
| 824 |
+
"loss": 0.339,
|
| 825 |
+
"step": 6300
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 25.6,
|
| 829 |
+
"grad_norm": 1.2108442783355713,
|
| 830 |
+
"learning_rate": 0.0001,
|
| 831 |
+
"loss": 0.3409,
|
| 832 |
+
"step": 6400
|
| 833 |
+
},
|
| 834 |
+
{
|
| 835 |
+
"epoch": 26.0,
|
| 836 |
+
"grad_norm": 1.596282720565796,
|
| 837 |
+
"learning_rate": 0.0001,
|
| 838 |
+
"loss": 0.3511,
|
| 839 |
+
"step": 6500
|
| 840 |
+
},
|
| 841 |
+
{
|
| 842 |
+
"epoch": 26.0,
|
| 843 |
+
"eval_accuracy": 0.4903174603174603,
|
| 844 |
+
"eval_loss": 4.0105509757995605,
|
| 845 |
+
"eval_runtime": 5.1332,
|
| 846 |
+
"eval_samples_per_second": 97.405,
|
| 847 |
+
"eval_steps_per_second": 12.273,
|
| 848 |
+
"step": 6500
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 26.0,
|
| 852 |
+
"eval_exact_match": 15.2,
|
| 853 |
+
"eval_f1": 22.125512265512278,
|
| 854 |
+
"step": 6500
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 26.4,
|
| 858 |
+
"grad_norm": 0.607507050037384,
|
| 859 |
+
"learning_rate": 0.0001,
|
| 860 |
+
"loss": 0.3289,
|
| 861 |
+
"step": 6600
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 26.8,
|
| 865 |
+
"grad_norm": 0.8661500215530396,
|
| 866 |
+
"learning_rate": 0.0001,
|
| 867 |
+
"loss": 0.3442,
|
| 868 |
+
"step": 6700
|
| 869 |
+
},
|
| 870 |
+
{
|
| 871 |
+
"epoch": 27.0,
|
| 872 |
+
"eval_accuracy": 0.491015873015873,
|
| 873 |
+
"eval_loss": 4.040103435516357,
|
| 874 |
+
"eval_runtime": 5.3436,
|
| 875 |
+
"eval_samples_per_second": 93.57,
|
| 876 |
+
"eval_steps_per_second": 11.79,
|
| 877 |
+
"step": 6750
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 27.0,
|
| 881 |
+
"eval_exact_match": 15.8,
|
| 882 |
+
"eval_f1": 23.22610556110557,
|
| 883 |
+
"step": 6750
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 27.2,
|
| 887 |
+
"grad_norm": 0.6577064394950867,
|
| 888 |
+
"learning_rate": 0.0001,
|
| 889 |
+
"loss": 0.3417,
|
| 890 |
+
"step": 6800
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 27.6,
|
| 894 |
+
"grad_norm": 0.7707544565200806,
|
| 895 |
+
"learning_rate": 0.0001,
|
| 896 |
+
"loss": 0.3367,
|
| 897 |
+
"step": 6900
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 28.0,
|
| 901 |
+
"grad_norm": 0.9173874258995056,
|
| 902 |
+
"learning_rate": 0.0001,
|
| 903 |
+
"loss": 0.3496,
|
| 904 |
+
"step": 7000
|
| 905 |
+
},
|
| 906 |
+
{
|
| 907 |
+
"epoch": 28.0,
|
| 908 |
+
"eval_accuracy": 0.48968253968253966,
|
| 909 |
+
"eval_loss": 4.015742778778076,
|
| 910 |
+
"eval_runtime": 5.5561,
|
| 911 |
+
"eval_samples_per_second": 89.991,
|
| 912 |
+
"eval_steps_per_second": 11.339,
|
| 913 |
+
"step": 7000
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 28.0,
|
| 917 |
+
"eval_exact_match": 14.8,
|
| 918 |
+
"eval_f1": 21.22861116361117,
|
| 919 |
+
"step": 7000
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 28.4,
|
| 923 |
+
"grad_norm": 0.8520764112472534,
|
| 924 |
+
"learning_rate": 0.0001,
|
| 925 |
+
"loss": 0.3324,
|
| 926 |
+
"step": 7100
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 28.8,
|
| 930 |
+
"grad_norm": 0.6646843552589417,
|
| 931 |
+
"learning_rate": 0.0001,
|
| 932 |
+
"loss": 0.34,
|
| 933 |
+
"step": 7200
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 29.0,
|
| 937 |
+
"eval_accuracy": 0.4902222222222222,
|
| 938 |
+
"eval_loss": 4.0503458976745605,
|
| 939 |
+
"eval_runtime": 5.543,
|
| 940 |
+
"eval_samples_per_second": 90.204,
|
| 941 |
+
"eval_steps_per_second": 11.366,
|
| 942 |
+
"step": 7250
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 29.0,
|
| 946 |
+
"eval_exact_match": 15.4,
|
| 947 |
+
"eval_f1": 21.908746993747,
|
| 948 |
+
"step": 7250
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 29.2,
|
| 952 |
+
"grad_norm": 0.5370341539382935,
|
| 953 |
+
"learning_rate": 0.0001,
|
| 954 |
+
"loss": 0.3325,
|
| 955 |
+
"step": 7300
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 29.6,
|
| 959 |
+
"grad_norm": 0.9284526705741882,
|
| 960 |
+
"learning_rate": 0.0001,
|
| 961 |
+
"loss": 0.3353,
|
| 962 |
+
"step": 7400
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 30.0,
|
| 966 |
+
"grad_norm": 1.1908068656921387,
|
| 967 |
+
"learning_rate": 0.0001,
|
| 968 |
+
"loss": 0.3448,
|
| 969 |
+
"step": 7500
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 30.0,
|
| 973 |
+
"eval_accuracy": 0.49082539682539683,
|
| 974 |
+
"eval_loss": 4.078609466552734,
|
| 975 |
+
"eval_runtime": 5.4942,
|
| 976 |
+
"eval_samples_per_second": 91.006,
|
| 977 |
+
"eval_steps_per_second": 11.467,
|
| 978 |
+
"step": 7500
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 30.0,
|
| 982 |
+
"eval_exact_match": 14.6,
|
| 983 |
+
"eval_f1": 21.577283272283278,
|
| 984 |
+
"step": 7500
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 30.4,
|
| 988 |
+
"grad_norm": 0.8314960598945618,
|
| 989 |
+
"learning_rate": 0.0001,
|
| 990 |
+
"loss": 0.325,
|
| 991 |
+
"step": 7600
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 30.8,
|
| 995 |
+
"grad_norm": 0.8316343426704407,
|
| 996 |
+
"learning_rate": 0.0001,
|
| 997 |
+
"loss": 0.3406,
|
| 998 |
+
"step": 7700
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 31.0,
|
| 1002 |
+
"eval_accuracy": 0.49053968253968255,
|
| 1003 |
+
"eval_loss": 4.123876571655273,
|
| 1004 |
+
"eval_runtime": 5.1277,
|
| 1005 |
+
"eval_samples_per_second": 97.51,
|
| 1006 |
+
"eval_steps_per_second": 12.286,
|
| 1007 |
+
"step": 7750
|
| 1008 |
+
},
|
| 1009 |
+
{
|
| 1010 |
+
"epoch": 31.0,
|
| 1011 |
+
"eval_exact_match": 15.0,
|
| 1012 |
+
"eval_f1": 21.135220890220893,
|
| 1013 |
+
"step": 7750
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 31.2,
|
| 1017 |
+
"grad_norm": 0.539159893989563,
|
| 1018 |
+
"learning_rate": 0.0001,
|
| 1019 |
+
"loss": 0.3354,
|
| 1020 |
+
"step": 7800
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 31.6,
|
| 1024 |
+
"grad_norm": 0.7684648633003235,
|
| 1025 |
+
"learning_rate": 0.0001,
|
| 1026 |
+
"loss": 0.3354,
|
| 1027 |
+
"step": 7900
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 32.0,
|
| 1031 |
+
"grad_norm": 0.8351700901985168,
|
| 1032 |
+
"learning_rate": 0.0001,
|
| 1033 |
+
"loss": 0.3375,
|
| 1034 |
+
"step": 8000
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 32.0,
|
| 1038 |
+
"eval_accuracy": 0.4914603174603175,
|
| 1039 |
+
"eval_loss": 4.1210455894470215,
|
| 1040 |
+
"eval_runtime": 5.5561,
|
| 1041 |
+
"eval_samples_per_second": 89.991,
|
| 1042 |
+
"eval_steps_per_second": 11.339,
|
| 1043 |
+
"step": 8000
|
| 1044 |
+
},
|
| 1045 |
+
{
|
| 1046 |
+
"epoch": 32.0,
|
| 1047 |
+
"eval_exact_match": 14.4,
|
| 1048 |
+
"eval_f1": 20.92217171717173,
|
| 1049 |
+
"step": 8000
|
| 1050 |
+
},
|
| 1051 |
+
{
|
| 1052 |
+
"epoch": 32.4,
|
| 1053 |
+
"grad_norm": 0.9775452017784119,
|
| 1054 |
+
"learning_rate": 0.0001,
|
| 1055 |
+
"loss": 0.3233,
|
| 1056 |
+
"step": 8100
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 32.8,
|
| 1060 |
+
"grad_norm": 0.8110117316246033,
|
| 1061 |
+
"learning_rate": 0.0001,
|
| 1062 |
+
"loss": 0.339,
|
| 1063 |
+
"step": 8200
|
| 1064 |
+
},
|
| 1065 |
+
{
|
| 1066 |
+
"epoch": 33.0,
|
| 1067 |
+
"eval_accuracy": 0.48984126984126986,
|
| 1068 |
+
"eval_loss": 4.103898525238037,
|
| 1069 |
+
"eval_runtime": 5.2522,
|
| 1070 |
+
"eval_samples_per_second": 95.197,
|
| 1071 |
+
"eval_steps_per_second": 11.995,
|
| 1072 |
+
"step": 8250
|
| 1073 |
+
},
|
| 1074 |
+
{
|
| 1075 |
+
"epoch": 33.0,
|
| 1076 |
+
"eval_exact_match": 15.6,
|
| 1077 |
+
"eval_f1": 22.6055772005772,
|
| 1078 |
+
"step": 8250
|
| 1079 |
+
},
|
| 1080 |
+
{
|
| 1081 |
+
"epoch": 33.2,
|
| 1082 |
+
"grad_norm": 0.617221474647522,
|
| 1083 |
+
"learning_rate": 0.0001,
|
| 1084 |
+
"loss": 0.3304,
|
| 1085 |
+
"step": 8300
|
| 1086 |
+
},
|
| 1087 |
+
{
|
| 1088 |
+
"epoch": 33.6,
|
| 1089 |
+
"grad_norm": 0.7995471358299255,
|
| 1090 |
+
"learning_rate": 0.0001,
|
| 1091 |
+
"loss": 0.3294,
|
| 1092 |
+
"step": 8400
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 34.0,
|
| 1096 |
+
"grad_norm": 0.7901666760444641,
|
| 1097 |
+
"learning_rate": 0.0001,
|
| 1098 |
+
"loss": 0.3418,
|
| 1099 |
+
"step": 8500
|
| 1100 |
+
},
|
| 1101 |
+
{
|
| 1102 |
+
"epoch": 34.0,
|
| 1103 |
+
"eval_accuracy": 0.4901904761904762,
|
| 1104 |
+
"eval_loss": 4.087856769561768,
|
| 1105 |
+
"eval_runtime": 5.2835,
|
| 1106 |
+
"eval_samples_per_second": 94.634,
|
| 1107 |
+
"eval_steps_per_second": 11.924,
|
| 1108 |
+
"step": 8500
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 34.0,
|
| 1112 |
+
"eval_exact_match": 15.4,
|
| 1113 |
+
"eval_f1": 22.837828282828294,
|
| 1114 |
+
"step": 8500
|
| 1115 |
+
},
|
| 1116 |
+
{
|
| 1117 |
+
"epoch": 34.4,
|
| 1118 |
+
"grad_norm": 0.7124672532081604,
|
| 1119 |
+
"learning_rate": 0.0001,
|
| 1120 |
+
"loss": 0.3227,
|
| 1121 |
+
"step": 8600
|
| 1122 |
+
},
|
| 1123 |
+
{
|
| 1124 |
+
"epoch": 34.8,
|
| 1125 |
+
"grad_norm": 0.9989972114562988,
|
| 1126 |
+
"learning_rate": 0.0001,
|
| 1127 |
+
"loss": 0.3364,
|
| 1128 |
+
"step": 8700
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 35.0,
|
| 1132 |
+
"eval_accuracy": 0.4906984126984127,
|
| 1133 |
+
"eval_loss": 4.07823371887207,
|
| 1134 |
+
"eval_runtime": 5.4413,
|
| 1135 |
+
"eval_samples_per_second": 91.889,
|
| 1136 |
+
"eval_steps_per_second": 11.578,
|
| 1137 |
+
"step": 8750
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 35.0,
|
| 1141 |
+
"eval_exact_match": 16.0,
|
| 1142 |
+
"eval_f1": 22.744945200997837,
|
| 1143 |
+
"step": 8750
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 35.2,
|
| 1147 |
+
"grad_norm": 1.1887849569320679,
|
| 1148 |
+
"learning_rate": 0.0001,
|
| 1149 |
+
"loss": 0.3279,
|
| 1150 |
+
"step": 8800
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 35.6,
|
| 1154 |
+
"grad_norm": 1.1754401922225952,
|
| 1155 |
+
"learning_rate": 0.0001,
|
| 1156 |
+
"loss": 0.3301,
|
| 1157 |
+
"step": 8900
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 36.0,
|
| 1161 |
+
"grad_norm": 1.0393660068511963,
|
| 1162 |
+
"learning_rate": 0.0001,
|
| 1163 |
+
"loss": 0.3421,
|
| 1164 |
+
"step": 9000
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 36.0,
|
| 1168 |
+
"eval_accuracy": 0.49098412698412697,
|
| 1169 |
+
"eval_loss": 4.051205635070801,
|
| 1170 |
+
"eval_runtime": 5.1509,
|
| 1171 |
+
"eval_samples_per_second": 97.07,
|
| 1172 |
+
"eval_steps_per_second": 12.231,
|
| 1173 |
+
"step": 9000
|
| 1174 |
+
},
|
| 1175 |
+
{
|
| 1176 |
+
"epoch": 36.0,
|
| 1177 |
+
"eval_exact_match": 15.6,
|
| 1178 |
+
"eval_f1": 22.011782106782118,
|
| 1179 |
+
"step": 9000
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 36.4,
|
| 1183 |
+
"grad_norm": 0.5955029129981995,
|
| 1184 |
+
"learning_rate": 0.0001,
|
| 1185 |
+
"loss": 0.322,
|
| 1186 |
+
"step": 9100
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 36.8,
|
| 1190 |
+
"grad_norm": 0.5837319493293762,
|
| 1191 |
+
"learning_rate": 0.0001,
|
| 1192 |
+
"loss": 0.3337,
|
| 1193 |
+
"step": 9200
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 37.0,
|
| 1197 |
+
"eval_accuracy": 0.4894603174603175,
|
| 1198 |
+
"eval_loss": 4.1726765632629395,
|
| 1199 |
+
"eval_runtime": 5.8414,
|
| 1200 |
+
"eval_samples_per_second": 85.595,
|
| 1201 |
+
"eval_steps_per_second": 10.785,
|
| 1202 |
+
"step": 9250
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 37.0,
|
| 1206 |
+
"eval_exact_match": 15.0,
|
| 1207 |
+
"eval_f1": 21.872969807969813,
|
| 1208 |
+
"step": 9250
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 37.2,
|
| 1212 |
+
"grad_norm": 0.8081912994384766,
|
| 1213 |
+
"learning_rate": 0.0001,
|
| 1214 |
+
"loss": 0.3272,
|
| 1215 |
+
"step": 9300
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 37.6,
|
| 1219 |
+
"grad_norm": 0.8411530256271362,
|
| 1220 |
+
"learning_rate": 0.0001,
|
| 1221 |
+
"loss": 0.331,
|
| 1222 |
+
"step": 9400
|
| 1223 |
+
},
|
| 1224 |
+
{
|
| 1225 |
+
"epoch": 38.0,
|
| 1226 |
+
"grad_norm": 1.546312689781189,
|
| 1227 |
+
"learning_rate": 0.0001,
|
| 1228 |
+
"loss": 0.3375,
|
| 1229 |
+
"step": 9500
|
| 1230 |
+
},
|
| 1231 |
+
{
|
| 1232 |
+
"epoch": 38.0,
|
| 1233 |
+
"eval_accuracy": 0.4889206349206349,
|
| 1234 |
+
"eval_loss": 4.161491870880127,
|
| 1235 |
+
"eval_runtime": 5.1783,
|
| 1236 |
+
"eval_samples_per_second": 96.557,
|
| 1237 |
+
"eval_steps_per_second": 12.166,
|
| 1238 |
+
"step": 9500
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 38.0,
|
| 1242 |
+
"eval_exact_match": 15.6,
|
| 1243 |
+
"eval_f1": 22.188371073371083,
|
| 1244 |
+
"step": 9500
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 38.4,
|
| 1248 |
+
"grad_norm": 0.9211820960044861,
|
| 1249 |
+
"learning_rate": 0.0001,
|
| 1250 |
+
"loss": 0.3234,
|
| 1251 |
+
"step": 9600
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 38.8,
|
| 1255 |
+
"grad_norm": 1.2120319604873657,
|
| 1256 |
+
"learning_rate": 0.0001,
|
| 1257 |
+
"loss": 0.3304,
|
| 1258 |
+
"step": 9700
|
| 1259 |
+
},
|
| 1260 |
+
{
|
| 1261 |
+
"epoch": 39.0,
|
| 1262 |
+
"eval_accuracy": 0.4899047619047619,
|
| 1263 |
+
"eval_loss": 4.175526142120361,
|
| 1264 |
+
"eval_runtime": 5.3257,
|
| 1265 |
+
"eval_samples_per_second": 93.884,
|
| 1266 |
+
"eval_steps_per_second": 11.829,
|
| 1267 |
+
"step": 9750
|
| 1268 |
+
},
|
| 1269 |
+
{
|
| 1270 |
+
"epoch": 39.0,
|
| 1271 |
+
"eval_exact_match": 15.0,
|
| 1272 |
+
"eval_f1": 22.163932178932185,
|
| 1273 |
+
"step": 9750
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 39.2,
|
| 1277 |
+
"grad_norm": 0.805370032787323,
|
| 1278 |
+
"learning_rate": 0.0001,
|
| 1279 |
+
"loss": 0.3303,
|
| 1280 |
+
"step": 9800
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 39.6,
|
| 1284 |
+
"grad_norm": 0.7469269037246704,
|
| 1285 |
+
"learning_rate": 0.0001,
|
| 1286 |
+
"loss": 0.3264,
|
| 1287 |
+
"step": 9900
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 40.0,
|
| 1291 |
+
"grad_norm": 0.5969201326370239,
|
| 1292 |
+
"learning_rate": 0.0001,
|
| 1293 |
+
"loss": 0.3341,
|
| 1294 |
+
"step": 10000
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 40.0,
|
| 1298 |
+
"eval_accuracy": 0.4903174603174603,
|
| 1299 |
+
"eval_loss": 4.154229640960693,
|
| 1300 |
+
"eval_runtime": 5.1431,
|
| 1301 |
+
"eval_samples_per_second": 97.217,
|
| 1302 |
+
"eval_steps_per_second": 12.249,
|
| 1303 |
+
"step": 10000
|
| 1304 |
+
},
|
| 1305 |
+
{
|
| 1306 |
+
"epoch": 40.0,
|
| 1307 |
+
"eval_exact_match": 15.4,
|
| 1308 |
+
"eval_f1": 22.79366244866245,
|
| 1309 |
+
"step": 10000
|
| 1310 |
+
},
|
| 1311 |
+
{
|
| 1312 |
+
"epoch": 40.4,
|
| 1313 |
+
"grad_norm": 1.3221168518066406,
|
| 1314 |
+
"learning_rate": 0.0001,
|
| 1315 |
+
"loss": 0.3202,
|
| 1316 |
+
"step": 10100
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 40.8,
|
| 1320 |
+
"grad_norm": 1.0271961688995361,
|
| 1321 |
+
"learning_rate": 0.0001,
|
| 1322 |
+
"loss": 0.3311,
|
| 1323 |
+
"step": 10200
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 41.0,
|
| 1327 |
+
"eval_accuracy": 0.4888888888888889,
|
| 1328 |
+
"eval_loss": 4.147851943969727,
|
| 1329 |
+
"eval_runtime": 5.1762,
|
| 1330 |
+
"eval_samples_per_second": 96.597,
|
| 1331 |
+
"eval_steps_per_second": 12.171,
|
| 1332 |
+
"step": 10250
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 41.0,
|
| 1336 |
+
"eval_exact_match": 14.4,
|
| 1337 |
+
"eval_f1": 21.314184475655072,
|
| 1338 |
+
"step": 10250
|
| 1339 |
+
},
|
| 1340 |
+
{
|
| 1341 |
+
"epoch": 41.2,
|
| 1342 |
+
"grad_norm": 0.7914813160896301,
|
| 1343 |
+
"learning_rate": 0.0001,
|
| 1344 |
+
"loss": 0.3249,
|
| 1345 |
+
"step": 10300
|
| 1346 |
+
},
|
| 1347 |
+
{
|
| 1348 |
+
"epoch": 41.6,
|
| 1349 |
+
"grad_norm": 0.6853758692741394,
|
| 1350 |
+
"learning_rate": 0.0001,
|
| 1351 |
+
"loss": 0.3243,
|
| 1352 |
+
"step": 10400
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 42.0,
|
| 1356 |
+
"grad_norm": 0.5341431498527527,
|
| 1357 |
+
"learning_rate": 0.0001,
|
| 1358 |
+
"loss": 0.3337,
|
| 1359 |
+
"step": 10500
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 42.0,
|
| 1363 |
+
"eval_accuracy": 0.4906984126984127,
|
| 1364 |
+
"eval_loss": 4.100536823272705,
|
| 1365 |
+
"eval_runtime": 5.5379,
|
| 1366 |
+
"eval_samples_per_second": 90.287,
|
| 1367 |
+
"eval_steps_per_second": 11.376,
|
| 1368 |
+
"step": 10500
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 42.0,
|
| 1372 |
+
"eval_exact_match": 14.6,
|
| 1373 |
+
"eval_f1": 20.853186258186263,
|
| 1374 |
+
"step": 10500
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 42.4,
|
| 1378 |
+
"grad_norm": 0.9453160762786865,
|
| 1379 |
+
"learning_rate": 0.0001,
|
| 1380 |
+
"loss": 0.3158,
|
| 1381 |
+
"step": 10600
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 42.8,
|
| 1385 |
+
"grad_norm": 0.5263190865516663,
|
| 1386 |
+
"learning_rate": 0.0001,
|
| 1387 |
+
"loss": 0.3284,
|
| 1388 |
+
"step": 10700
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 43.0,
|
| 1392 |
+
"eval_accuracy": 0.4908571428571429,
|
| 1393 |
+
"eval_loss": 4.168817043304443,
|
| 1394 |
+
"eval_runtime": 5.3507,
|
| 1395 |
+
"eval_samples_per_second": 93.446,
|
| 1396 |
+
"eval_steps_per_second": 11.774,
|
| 1397 |
+
"step": 10750
|
| 1398 |
+
},
|
| 1399 |
+
{
|
| 1400 |
+
"epoch": 43.0,
|
| 1401 |
+
"eval_exact_match": 15.0,
|
| 1402 |
+
"eval_f1": 21.825926067396658,
|
| 1403 |
+
"step": 10750
|
| 1404 |
+
}
|
| 1405 |
+
],
|
| 1406 |
+
"logging_steps": 100,
|
| 1407 |
+
"max_steps": 12500,
|
| 1408 |
+
"num_input_tokens_seen": 0,
|
| 1409 |
+
"num_train_epochs": 50,
|
| 1410 |
+
"save_steps": 500,
|
| 1411 |
+
"stateful_callbacks": {
|
| 1412 |
+
"TrainerControl": {
|
| 1413 |
+
"args": {
|
| 1414 |
+
"should_epoch_stop": false,
|
| 1415 |
+
"should_evaluate": false,
|
| 1416 |
+
"should_log": false,
|
| 1417 |
+
"should_save": true,
|
| 1418 |
+
"should_training_stop": false
|
| 1419 |
+
},
|
| 1420 |
+
"attributes": {}
|
| 1421 |
+
}
|
| 1422 |
+
},
|
| 1423 |
+
"total_flos": 3.2884632454168576e+17,
|
| 1424 |
+
"train_batch_size": 2,
|
| 1425 |
+
"trial_name": null,
|
| 1426 |
+
"trial_params": null
|
| 1427 |
+
}
|
checkpoint-10750/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c3414153f69372b550d629c900d05ab7510b14d218f2d8546142e7b41d948d3e
|
| 3 |
+
size 5304
|
checkpoint-10750/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|