andrea colombo commited on
Commit ·
618f041
1
Parent(s): dd45b16
load model
Browse files- README.md +17 -9
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +44 -0
- trainer_state.json +556 -0
- training_args.bin +3 -0
README.md
CHANGED
|
@@ -1,10 +1,18 @@
|
|
| 1 |
---
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
---
|
| 2 |
+
base_model: mistralai/Mistral-7B-Instruct-v0.1
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
A Mistral-7B-instruct-v0.1 model to extract the topics from a text of US Public law articles (titles). It is fine-tuned over a set of 18k high quality law title-topics pairs.
|
| 9 |
+
|
| 10 |
+
## Model Details
|
| 11 |
+
|
| 12 |
+
### Model Description
|
| 13 |
+
|
| 14 |
+
Finetuned from model: mistralai/Mistral-7B-Instruct-v0.1
|
| 15 |
+
- **Developed by:** Andrea Colombo, Politecnico di Milano
|
| 16 |
+
- **Model type:** text generation
|
| 17 |
+
- **License:** Apache 2.0
|
| 18 |
+
- **Finetuned from model:** mistralai/Mistral-7B-Instruct-v0.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.1",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 16,
|
| 14 |
+
"lora_dropout": 0.1,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 64,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"q_proj",
|
| 24 |
+
"v_proj"
|
| 25 |
+
],
|
| 26 |
+
"task_type": "CAUSAL_LM",
|
| 27 |
+
"use_dora": false,
|
| 28 |
+
"use_rslora": false
|
| 29 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a71d6ebf68b79bce475b3a90d44f858ddf633a49974bfca2912a9366e58a1b9
|
| 3 |
+
size 109069176
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:10dfed55e6f9ff5a718bfcb57209f7275901977d487fdae4cb7e963ab86412d9
|
| 3 |
+
size 218211962
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f30b6b17e2aa33838e4dd26cc90815b4a23abb2a11e12e834dcba1345cffebb3
|
| 3 |
+
size 14244
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:36a1765114743c18ccc9a84fb2ccd51909437c9cc749f3909363dac9c7aa518b
|
| 3 |
+
size 1064
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "</s>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": null,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"additional_special_tokens": [],
|
| 32 |
+
"bos_token": "<s>",
|
| 33 |
+
"chat_template": "{%- if messages[0]['role'] == 'system' %}\n {%- set system_message = messages[0]['content'] %}\n {%- set loop_messages = messages[1:] %}\n{%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{{- bos_token }}\n{%- for message in loop_messages %}\n {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}\n {{- raise_exception('After the optional system message, conversation roles must alternate user/assistant/user/assistant/...') }}\n {%- endif %}\n {%- if message['role'] == 'user' %}\n {%- if loop.first and system_message is defined %}\n {{- ' [INST] ' + system_message + '\\n\\n' + message['content'] + ' [/INST]' }}\n {%- else %}\n {{- ' [INST] ' + message['content'] + ' [/INST]' }}\n {%- endif %}\n {%- elif message['role'] == 'assistant' %}\n {{- ' ' + message['content'] + eos_token}}\n {%- else %}\n {{- raise_exception('Only user and assistant roles are supported, with the exception of an initial optional system message!') }}\n {%- endif %}\n{%- endfor %}\n",
|
| 34 |
+
"clean_up_tokenization_spaces": false,
|
| 35 |
+
"eos_token": "</s>",
|
| 36 |
+
"legacy": false,
|
| 37 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 38 |
+
"pad_token": "</s>",
|
| 39 |
+
"sp_model_kwargs": {},
|
| 40 |
+
"spaces_between_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 42 |
+
"unk_token": "<unk>",
|
| 43 |
+
"use_default_system_prompt": false
|
| 44 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,556 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 20,
|
| 6 |
+
"global_step": 695,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.07194244604316546,
|
| 13 |
+
"grad_norm": 0.7139045596122742,
|
| 14 |
+
"learning_rate": 0.0002,
|
| 15 |
+
"loss": 2.0811,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.14388489208633093,
|
| 20 |
+
"grad_norm": 0.5728554129600525,
|
| 21 |
+
"learning_rate": 0.0002,
|
| 22 |
+
"loss": 1.567,
|
| 23 |
+
"step": 20
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.2158273381294964,
|
| 27 |
+
"grad_norm": 0.28863629698753357,
|
| 28 |
+
"learning_rate": 0.0002,
|
| 29 |
+
"loss": 1.357,
|
| 30 |
+
"step": 30
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.28776978417266186,
|
| 34 |
+
"grad_norm": 0.3229255974292755,
|
| 35 |
+
"learning_rate": 0.0002,
|
| 36 |
+
"loss": 1.2521,
|
| 37 |
+
"step": 40
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.3597122302158273,
|
| 41 |
+
"grad_norm": 0.33988726139068604,
|
| 42 |
+
"learning_rate": 0.0002,
|
| 43 |
+
"loss": 1.2164,
|
| 44 |
+
"step": 50
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.4316546762589928,
|
| 48 |
+
"grad_norm": 0.40238669514656067,
|
| 49 |
+
"learning_rate": 0.0002,
|
| 50 |
+
"loss": 1.1385,
|
| 51 |
+
"step": 60
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.5035971223021583,
|
| 55 |
+
"grad_norm": 0.38314664363861084,
|
| 56 |
+
"learning_rate": 0.0002,
|
| 57 |
+
"loss": 1.0973,
|
| 58 |
+
"step": 70
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.5755395683453237,
|
| 62 |
+
"grad_norm": 0.3884238302707672,
|
| 63 |
+
"learning_rate": 0.0002,
|
| 64 |
+
"loss": 1.0836,
|
| 65 |
+
"step": 80
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.6474820143884892,
|
| 69 |
+
"grad_norm": 0.3774580657482147,
|
| 70 |
+
"learning_rate": 0.0002,
|
| 71 |
+
"loss": 1.0409,
|
| 72 |
+
"step": 90
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.7194244604316546,
|
| 76 |
+
"grad_norm": 0.43280744552612305,
|
| 77 |
+
"learning_rate": 0.0002,
|
| 78 |
+
"loss": 1.0462,
|
| 79 |
+
"step": 100
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.7913669064748201,
|
| 83 |
+
"grad_norm": 0.3758571445941925,
|
| 84 |
+
"learning_rate": 0.0002,
|
| 85 |
+
"loss": 1.0206,
|
| 86 |
+
"step": 110
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.8633093525179856,
|
| 90 |
+
"grad_norm": 0.3923165798187256,
|
| 91 |
+
"learning_rate": 0.0002,
|
| 92 |
+
"loss": 1.0219,
|
| 93 |
+
"step": 120
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.935251798561151,
|
| 97 |
+
"grad_norm": 0.4213840663433075,
|
| 98 |
+
"learning_rate": 0.0002,
|
| 99 |
+
"loss": 0.9971,
|
| 100 |
+
"step": 130
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 1.0,
|
| 104 |
+
"eval_loss": 0.9775540828704834,
|
| 105 |
+
"eval_runtime": 21.5909,
|
| 106 |
+
"eval_samples_per_second": 4.771,
|
| 107 |
+
"eval_steps_per_second": 0.602,
|
| 108 |
+
"step": 139
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 1.0071942446043165,
|
| 112 |
+
"grad_norm": 0.40076276659965515,
|
| 113 |
+
"learning_rate": 0.0002,
|
| 114 |
+
"loss": 0.9885,
|
| 115 |
+
"step": 140
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 1.079136690647482,
|
| 119 |
+
"grad_norm": 0.3987070918083191,
|
| 120 |
+
"learning_rate": 0.0002,
|
| 121 |
+
"loss": 0.9555,
|
| 122 |
+
"step": 150
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 1.1510791366906474,
|
| 126 |
+
"grad_norm": 0.41527315974235535,
|
| 127 |
+
"learning_rate": 0.0002,
|
| 128 |
+
"loss": 0.9391,
|
| 129 |
+
"step": 160
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 1.223021582733813,
|
| 133 |
+
"grad_norm": 0.42107248306274414,
|
| 134 |
+
"learning_rate": 0.0002,
|
| 135 |
+
"loss": 0.9332,
|
| 136 |
+
"step": 170
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 1.2949640287769784,
|
| 140 |
+
"grad_norm": 0.4587080776691437,
|
| 141 |
+
"learning_rate": 0.0002,
|
| 142 |
+
"loss": 0.9163,
|
| 143 |
+
"step": 180
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 1.3669064748201438,
|
| 147 |
+
"grad_norm": 0.3977225124835968,
|
| 148 |
+
"learning_rate": 0.0002,
|
| 149 |
+
"loss": 0.9142,
|
| 150 |
+
"step": 190
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 1.4388489208633093,
|
| 154 |
+
"grad_norm": 0.41111239790916443,
|
| 155 |
+
"learning_rate": 0.0002,
|
| 156 |
+
"loss": 0.9088,
|
| 157 |
+
"step": 200
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 1.5107913669064748,
|
| 161 |
+
"grad_norm": 0.4326966404914856,
|
| 162 |
+
"learning_rate": 0.0002,
|
| 163 |
+
"loss": 0.9082,
|
| 164 |
+
"step": 210
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 1.5827338129496402,
|
| 168 |
+
"grad_norm": 0.3831544816493988,
|
| 169 |
+
"learning_rate": 0.0002,
|
| 170 |
+
"loss": 0.908,
|
| 171 |
+
"step": 220
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 1.6546762589928057,
|
| 175 |
+
"grad_norm": 0.39992555975914,
|
| 176 |
+
"learning_rate": 0.0002,
|
| 177 |
+
"loss": 0.9076,
|
| 178 |
+
"step": 230
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 1.7266187050359711,
|
| 182 |
+
"grad_norm": 0.39961057901382446,
|
| 183 |
+
"learning_rate": 0.0002,
|
| 184 |
+
"loss": 0.9059,
|
| 185 |
+
"step": 240
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 1.7985611510791366,
|
| 189 |
+
"grad_norm": 0.3854500949382782,
|
| 190 |
+
"learning_rate": 0.0002,
|
| 191 |
+
"loss": 0.8903,
|
| 192 |
+
"step": 250
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 1.870503597122302,
|
| 196 |
+
"grad_norm": 0.4092749357223511,
|
| 197 |
+
"learning_rate": 0.0002,
|
| 198 |
+
"loss": 0.8904,
|
| 199 |
+
"step": 260
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 1.9424460431654675,
|
| 203 |
+
"grad_norm": 0.40900877118110657,
|
| 204 |
+
"learning_rate": 0.0002,
|
| 205 |
+
"loss": 0.8679,
|
| 206 |
+
"step": 270
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 2.0,
|
| 210 |
+
"eval_loss": 0.8940790891647339,
|
| 211 |
+
"eval_runtime": 21.5978,
|
| 212 |
+
"eval_samples_per_second": 4.769,
|
| 213 |
+
"eval_steps_per_second": 0.602,
|
| 214 |
+
"step": 278
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"epoch": 2.014388489208633,
|
| 218 |
+
"grad_norm": 0.3746669888496399,
|
| 219 |
+
"learning_rate": 0.0002,
|
| 220 |
+
"loss": 0.8669,
|
| 221 |
+
"step": 280
|
| 222 |
+
},
|
| 223 |
+
{
|
| 224 |
+
"epoch": 2.0863309352517985,
|
| 225 |
+
"grad_norm": 0.4724111258983612,
|
| 226 |
+
"learning_rate": 0.0002,
|
| 227 |
+
"loss": 0.8304,
|
| 228 |
+
"step": 290
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"epoch": 2.158273381294964,
|
| 232 |
+
"grad_norm": 0.39437365531921387,
|
| 233 |
+
"learning_rate": 0.0002,
|
| 234 |
+
"loss": 0.8318,
|
| 235 |
+
"step": 300
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"epoch": 2.2302158273381294,
|
| 239 |
+
"grad_norm": 0.4238971471786499,
|
| 240 |
+
"learning_rate": 0.0002,
|
| 241 |
+
"loss": 0.829,
|
| 242 |
+
"step": 310
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 2.302158273381295,
|
| 246 |
+
"grad_norm": 0.37740206718444824,
|
| 247 |
+
"learning_rate": 0.0002,
|
| 248 |
+
"loss": 0.8235,
|
| 249 |
+
"step": 320
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 2.3741007194244603,
|
| 253 |
+
"grad_norm": 0.40223780274391174,
|
| 254 |
+
"learning_rate": 0.0002,
|
| 255 |
+
"loss": 0.8328,
|
| 256 |
+
"step": 330
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 2.446043165467626,
|
| 260 |
+
"grad_norm": 0.4160473048686981,
|
| 261 |
+
"learning_rate": 0.0002,
|
| 262 |
+
"loss": 0.8252,
|
| 263 |
+
"step": 340
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"epoch": 2.5179856115107913,
|
| 267 |
+
"grad_norm": 0.4427769184112549,
|
| 268 |
+
"learning_rate": 0.0002,
|
| 269 |
+
"loss": 0.8215,
|
| 270 |
+
"step": 350
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 2.5899280575539567,
|
| 274 |
+
"grad_norm": 0.47273996472358704,
|
| 275 |
+
"learning_rate": 0.0002,
|
| 276 |
+
"loss": 0.819,
|
| 277 |
+
"step": 360
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"epoch": 2.661870503597122,
|
| 281 |
+
"grad_norm": 0.38981807231903076,
|
| 282 |
+
"learning_rate": 0.0002,
|
| 283 |
+
"loss": 0.8225,
|
| 284 |
+
"step": 370
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 2.7338129496402876,
|
| 288 |
+
"grad_norm": 0.385079562664032,
|
| 289 |
+
"learning_rate": 0.0002,
|
| 290 |
+
"loss": 0.8045,
|
| 291 |
+
"step": 380
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 2.805755395683453,
|
| 295 |
+
"grad_norm": 0.3796544075012207,
|
| 296 |
+
"learning_rate": 0.0002,
|
| 297 |
+
"loss": 0.8234,
|
| 298 |
+
"step": 390
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 2.8776978417266186,
|
| 302 |
+
"grad_norm": 0.3638385236263275,
|
| 303 |
+
"learning_rate": 0.0002,
|
| 304 |
+
"loss": 0.8195,
|
| 305 |
+
"step": 400
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"epoch": 2.949640287769784,
|
| 309 |
+
"grad_norm": 0.37602856755256653,
|
| 310 |
+
"learning_rate": 0.0002,
|
| 311 |
+
"loss": 0.831,
|
| 312 |
+
"step": 410
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 3.0,
|
| 316 |
+
"eval_loss": 0.8596920967102051,
|
| 317 |
+
"eval_runtime": 21.5962,
|
| 318 |
+
"eval_samples_per_second": 4.769,
|
| 319 |
+
"eval_steps_per_second": 0.602,
|
| 320 |
+
"step": 417
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 3.0215827338129495,
|
| 324 |
+
"grad_norm": 0.3858413100242615,
|
| 325 |
+
"learning_rate": 0.0002,
|
| 326 |
+
"loss": 0.8076,
|
| 327 |
+
"step": 420
|
| 328 |
+
},
|
| 329 |
+
{
|
| 330 |
+
"epoch": 3.093525179856115,
|
| 331 |
+
"grad_norm": 0.39952272176742554,
|
| 332 |
+
"learning_rate": 0.0002,
|
| 333 |
+
"loss": 0.7777,
|
| 334 |
+
"step": 430
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 3.1654676258992804,
|
| 338 |
+
"grad_norm": 0.42352095246315,
|
| 339 |
+
"learning_rate": 0.0002,
|
| 340 |
+
"loss": 0.7704,
|
| 341 |
+
"step": 440
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 3.237410071942446,
|
| 345 |
+
"grad_norm": 0.4132436513900757,
|
| 346 |
+
"learning_rate": 0.0002,
|
| 347 |
+
"loss": 0.768,
|
| 348 |
+
"step": 450
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 3.3093525179856114,
|
| 352 |
+
"grad_norm": 0.414110392332077,
|
| 353 |
+
"learning_rate": 0.0002,
|
| 354 |
+
"loss": 0.7631,
|
| 355 |
+
"step": 460
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 3.381294964028777,
|
| 359 |
+
"grad_norm": 0.43551069498062134,
|
| 360 |
+
"learning_rate": 0.0002,
|
| 361 |
+
"loss": 0.7673,
|
| 362 |
+
"step": 470
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 3.4532374100719423,
|
| 366 |
+
"grad_norm": 0.4042975604534149,
|
| 367 |
+
"learning_rate": 0.0002,
|
| 368 |
+
"loss": 0.7552,
|
| 369 |
+
"step": 480
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 3.5251798561151078,
|
| 373 |
+
"grad_norm": 0.4289880394935608,
|
| 374 |
+
"learning_rate": 0.0002,
|
| 375 |
+
"loss": 0.7559,
|
| 376 |
+
"step": 490
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 3.597122302158273,
|
| 380 |
+
"grad_norm": 0.39530348777770996,
|
| 381 |
+
"learning_rate": 0.0002,
|
| 382 |
+
"loss": 0.7661,
|
| 383 |
+
"step": 500
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 3.6690647482014387,
|
| 387 |
+
"grad_norm": 0.4326631724834442,
|
| 388 |
+
"learning_rate": 0.0002,
|
| 389 |
+
"loss": 0.7605,
|
| 390 |
+
"step": 510
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 3.741007194244604,
|
| 394 |
+
"grad_norm": 0.3833424150943756,
|
| 395 |
+
"learning_rate": 0.0002,
|
| 396 |
+
"loss": 0.7549,
|
| 397 |
+
"step": 520
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"epoch": 3.81294964028777,
|
| 401 |
+
"grad_norm": 0.40698808431625366,
|
| 402 |
+
"learning_rate": 0.0002,
|
| 403 |
+
"loss": 0.764,
|
| 404 |
+
"step": 530
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 3.884892086330935,
|
| 408 |
+
"grad_norm": 0.39018431305885315,
|
| 409 |
+
"learning_rate": 0.0002,
|
| 410 |
+
"loss": 0.7653,
|
| 411 |
+
"step": 540
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 3.956834532374101,
|
| 415 |
+
"grad_norm": 0.37253016233444214,
|
| 416 |
+
"learning_rate": 0.0002,
|
| 417 |
+
"loss": 0.7677,
|
| 418 |
+
"step": 550
|
| 419 |
+
},
|
| 420 |
+
{
|
| 421 |
+
"epoch": 4.0,
|
| 422 |
+
"eval_loss": 0.8444326519966125,
|
| 423 |
+
"eval_runtime": 21.5712,
|
| 424 |
+
"eval_samples_per_second": 4.775,
|
| 425 |
+
"eval_steps_per_second": 0.603,
|
| 426 |
+
"step": 556
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 4.028776978417266,
|
| 430 |
+
"grad_norm": 0.4029178023338318,
|
| 431 |
+
"learning_rate": 0.0002,
|
| 432 |
+
"loss": 0.7467,
|
| 433 |
+
"step": 560
|
| 434 |
+
},
|
| 435 |
+
{
|
| 436 |
+
"epoch": 4.100719424460432,
|
| 437 |
+
"grad_norm": 0.382028192281723,
|
| 438 |
+
"learning_rate": 0.0002,
|
| 439 |
+
"loss": 0.7116,
|
| 440 |
+
"step": 570
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 4.172661870503597,
|
| 444 |
+
"grad_norm": 0.42502614855766296,
|
| 445 |
+
"learning_rate": 0.0002,
|
| 446 |
+
"loss": 0.7298,
|
| 447 |
+
"step": 580
|
| 448 |
+
},
|
| 449 |
+
{
|
| 450 |
+
"epoch": 4.244604316546763,
|
| 451 |
+
"grad_norm": 0.4241486191749573,
|
| 452 |
+
"learning_rate": 0.0002,
|
| 453 |
+
"loss": 0.7073,
|
| 454 |
+
"step": 590
|
| 455 |
+
},
|
| 456 |
+
{
|
| 457 |
+
"epoch": 4.316546762589928,
|
| 458 |
+
"grad_norm": 0.4571862816810608,
|
| 459 |
+
"learning_rate": 0.0002,
|
| 460 |
+
"loss": 0.7106,
|
| 461 |
+
"step": 600
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 4.388489208633094,
|
| 465 |
+
"grad_norm": 0.43121734261512756,
|
| 466 |
+
"learning_rate": 0.0002,
|
| 467 |
+
"loss": 0.7031,
|
| 468 |
+
"step": 610
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 4.460431654676259,
|
| 472 |
+
"grad_norm": 0.40107443928718567,
|
| 473 |
+
"learning_rate": 0.0002,
|
| 474 |
+
"loss": 0.693,
|
| 475 |
+
"step": 620
|
| 476 |
+
},
|
| 477 |
+
{
|
| 478 |
+
"epoch": 4.532374100719425,
|
| 479 |
+
"grad_norm": 0.4040583670139313,
|
| 480 |
+
"learning_rate": 0.0002,
|
| 481 |
+
"loss": 0.707,
|
| 482 |
+
"step": 630
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 4.60431654676259,
|
| 486 |
+
"grad_norm": 0.4380245506763458,
|
| 487 |
+
"learning_rate": 0.0002,
|
| 488 |
+
"loss": 0.7066,
|
| 489 |
+
"step": 640
|
| 490 |
+
},
|
| 491 |
+
{
|
| 492 |
+
"epoch": 4.676258992805756,
|
| 493 |
+
"grad_norm": 0.4263726472854614,
|
| 494 |
+
"learning_rate": 0.0002,
|
| 495 |
+
"loss": 0.7216,
|
| 496 |
+
"step": 650
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 4.748201438848921,
|
| 500 |
+
"grad_norm": 0.4532300531864166,
|
| 501 |
+
"learning_rate": 0.0002,
|
| 502 |
+
"loss": 0.7337,
|
| 503 |
+
"step": 660
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 4.820143884892087,
|
| 507 |
+
"grad_norm": 0.4051191210746765,
|
| 508 |
+
"learning_rate": 0.0002,
|
| 509 |
+
"loss": 0.7133,
|
| 510 |
+
"step": 670
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 4.892086330935252,
|
| 514 |
+
"grad_norm": 0.434962660074234,
|
| 515 |
+
"learning_rate": 0.0002,
|
| 516 |
+
"loss": 0.7144,
|
| 517 |
+
"step": 680
|
| 518 |
+
},
|
| 519 |
+
{
|
| 520 |
+
"epoch": 4.9640287769784175,
|
| 521 |
+
"grad_norm": 0.4131017029285431,
|
| 522 |
+
"learning_rate": 0.0002,
|
| 523 |
+
"loss": 0.7167,
|
| 524 |
+
"step": 690
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 5.0,
|
| 528 |
+
"eval_loss": 0.8359549641609192,
|
| 529 |
+
"eval_runtime": 21.598,
|
| 530 |
+
"eval_samples_per_second": 4.769,
|
| 531 |
+
"eval_steps_per_second": 0.602,
|
| 532 |
+
"step": 695
|
| 533 |
+
}
|
| 534 |
+
],
|
| 535 |
+
"logging_steps": 10,
|
| 536 |
+
"max_steps": 695,
|
| 537 |
+
"num_input_tokens_seen": 0,
|
| 538 |
+
"num_train_epochs": 5,
|
| 539 |
+
"save_steps": 500,
|
| 540 |
+
"stateful_callbacks": {
|
| 541 |
+
"TrainerControl": {
|
| 542 |
+
"args": {
|
| 543 |
+
"should_epoch_stop": false,
|
| 544 |
+
"should_evaluate": false,
|
| 545 |
+
"should_log": false,
|
| 546 |
+
"should_save": true,
|
| 547 |
+
"should_training_stop": true
|
| 548 |
+
},
|
| 549 |
+
"attributes": {}
|
| 550 |
+
}
|
| 551 |
+
},
|
| 552 |
+
"total_flos": 1.8287701530771456e+17,
|
| 553 |
+
"train_batch_size": 3,
|
| 554 |
+
"trial_name": null,
|
| 555 |
+
"trial_params": null
|
| 556 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f1f554400570d6b18d797afc057c09a63de0465159647f5d5d434e160481611
|
| 3 |
+
size 5432
|