Instructions to use Sliden/mofu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Sliden/mofu with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "Sliden/mofu") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- README.md +21 -0
- adapter_config.json +26 -0
- adapter_model.bin +3 -0
- checkpoint-117/README.md +21 -0
- checkpoint-117/adapter_config.json +26 -0
- checkpoint-117/adapter_model.bin +3 -0
- checkpoint-117/adapter_model/README.md +21 -0
- checkpoint-117/adapter_model/adapter_config.json +26 -0
- checkpoint-117/adapter_model/adapter_model.bin +3 -0
- checkpoint-117/optimizer.pt +3 -0
- checkpoint-117/rng_state.pth +3 -0
- checkpoint-117/scheduler.pt +3 -0
- checkpoint-117/trainer_state.json +737 -0
- checkpoint-117/training_args.bin +3 -0
- checkpoint-174/README.md +21 -0
- checkpoint-174/adapter_config.json +26 -0
- checkpoint-174/adapter_model.bin +3 -0
- checkpoint-174/adapter_model/README.md +21 -0
- checkpoint-174/adapter_model/adapter_config.json +26 -0
- checkpoint-174/adapter_model/adapter_model.bin +3 -0
- checkpoint-174/optimizer.pt +3 -0
- checkpoint-174/rng_state.pth +3 -0
- checkpoint-174/scheduler.pt +3 -0
- checkpoint-174/trainer_state.json +1087 -0
- checkpoint-174/training_args.bin +3 -0
- checkpoint-58/README.md +21 -0
- checkpoint-58/adapter_config.json +26 -0
- checkpoint-58/adapter_model.bin +3 -0
- checkpoint-58/adapter_model/README.md +21 -0
- checkpoint-58/adapter_model/adapter_config.json +26 -0
- checkpoint-58/adapter_model/adapter_model.bin +3 -0
- checkpoint-58/optimizer.pt +3 -0
- checkpoint-58/rng_state.pth +3 -0
- checkpoint-58/scheduler.pt +3 -0
- checkpoint-58/trainer_state.json +375 -0
- checkpoint-58/training_args.bin +3 -0
- merged/config.json +26 -0
- merged/generation_config.json +7 -0
- merged/pytorch_model.bin +3 -0
- merged/special_tokens_map.json +6 -0
- merged/tokenizer.model +3 -0
- merged/tokenizer_config.json +36 -0
- special_tokens_map.json +6 -0
- tokenizer.model +3 -0
- tokenizer_config.json +36 -0
README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0.dev0
|
adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "openlm-research/open_llama_3b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 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": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dbe5aa95043aa532cd69c2de2275ff0da626799b146f8b1fc0d9a27104e97ae1
|
| 3 |
+
size 50982397
|
checkpoint-117/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0.dev0
|
checkpoint-117/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "openlm-research/open_llama_3b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 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": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-117/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e498eeab1531f405933578e0969b54f08ea3f427d4f392974f0dfdb55d47fc52
|
| 3 |
+
size 50982397
|
checkpoint-117/adapter_model/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0.dev0
|
checkpoint-117/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "openlm-research/open_llama_3b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 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": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-117/adapter_model/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e498eeab1531f405933578e0969b54f08ea3f427d4f392974f0dfdb55d47fc52
|
| 3 |
+
size 50982397
|
checkpoint-117/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e9e3c392d3c1811b6366e03455bbd7c4a67ebee3df2febdeab2254e191fee92f
|
| 3 |
+
size 25871055
|
checkpoint-117/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7508d4b8dd267de5cc58e972da25236687927651336a28f292c92f7f23951475
|
| 3 |
+
size 14575
|
checkpoint-117/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7700418cf1a4cd51a29cd186ae503e313a55b0836cdcdd770aaf67afad70dc8
|
| 3 |
+
size 627
|
checkpoint-117/trainer_state.json
ADDED
|
@@ -0,0 +1,737 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.9914893617021276,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 117,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02,
|
| 13 |
+
"learning_rate": 2e-05,
|
| 14 |
+
"loss": 1.6896,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.03,
|
| 19 |
+
"learning_rate": 4e-05,
|
| 20 |
+
"loss": 1.632,
|
| 21 |
+
"step": 2
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.05,
|
| 25 |
+
"learning_rate": 6e-05,
|
| 26 |
+
"loss": 1.7197,
|
| 27 |
+
"step": 3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.07,
|
| 31 |
+
"learning_rate": 8e-05,
|
| 32 |
+
"loss": 1.6988,
|
| 33 |
+
"step": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.09,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"loss": 1.4945,
|
| 39 |
+
"step": 5
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.1,
|
| 43 |
+
"learning_rate": 0.00012,
|
| 44 |
+
"loss": 1.4763,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 0.00014,
|
| 50 |
+
"loss": 1.4645,
|
| 51 |
+
"step": 7
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.14,
|
| 55 |
+
"learning_rate": 0.00016,
|
| 56 |
+
"loss": 1.1569,
|
| 57 |
+
"step": 8
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.15,
|
| 61 |
+
"learning_rate": 0.00018,
|
| 62 |
+
"loss": 1.4501,
|
| 63 |
+
"step": 9
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.17,
|
| 67 |
+
"learning_rate": 0.0002,
|
| 68 |
+
"loss": 1.1972,
|
| 69 |
+
"step": 10
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.19,
|
| 73 |
+
"learning_rate": 0.00019998209226697376,
|
| 74 |
+
"loss": 1.1479,
|
| 75 |
+
"step": 11
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 0.00019992837548163316,
|
| 80 |
+
"loss": 1.1791,
|
| 81 |
+
"step": 12
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.22,
|
| 85 |
+
"learning_rate": 0.00019983886888289514,
|
| 86 |
+
"loss": 1.1471,
|
| 87 |
+
"step": 13
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.24,
|
| 91 |
+
"learning_rate": 0.00019971360452796522,
|
| 92 |
+
"loss": 0.9662,
|
| 93 |
+
"step": 14
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.26,
|
| 97 |
+
"learning_rate": 0.0001995526272808559,
|
| 98 |
+
"loss": 1.2166,
|
| 99 |
+
"step": 15
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.27,
|
| 103 |
+
"learning_rate": 0.0001993559947963185,
|
| 104 |
+
"loss": 1.1023,
|
| 105 |
+
"step": 16
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 0.00019912377749919374,
|
| 110 |
+
"loss": 0.9719,
|
| 111 |
+
"step": 17
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.31,
|
| 115 |
+
"learning_rate": 0.00019885605855918885,
|
| 116 |
+
"loss": 0.9122,
|
| 117 |
+
"step": 18
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.32,
|
| 121 |
+
"learning_rate": 0.00019855293386108992,
|
| 122 |
+
"loss": 0.8808,
|
| 123 |
+
"step": 19
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.34,
|
| 127 |
+
"learning_rate": 0.00019821451197042026,
|
| 128 |
+
"loss": 1.0081,
|
| 129 |
+
"step": 20
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.36,
|
| 133 |
+
"learning_rate": 0.00019784091409455728,
|
| 134 |
+
"loss": 1.0147,
|
| 135 |
+
"step": 21
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 0.00019743227403932134,
|
| 140 |
+
"loss": 0.8792,
|
| 141 |
+
"step": 22
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.39,
|
| 145 |
+
"learning_rate": 0.00019698873816105273,
|
| 146 |
+
"loss": 0.8762,
|
| 147 |
+
"step": 23
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.41,
|
| 151 |
+
"learning_rate": 0.00019651046531419332,
|
| 152 |
+
"loss": 0.7916,
|
| 153 |
+
"step": 24
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.43,
|
| 157 |
+
"learning_rate": 0.0001959976267943923,
|
| 158 |
+
"loss": 0.8967,
|
| 159 |
+
"step": 25
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.44,
|
| 163 |
+
"learning_rate": 0.0001954504062771555,
|
| 164 |
+
"loss": 1.0575,
|
| 165 |
+
"step": 26
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.46,
|
| 169 |
+
"learning_rate": 0.00019486899975206166,
|
| 170 |
+
"loss": 0.9374,
|
| 171 |
+
"step": 27
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.48,
|
| 175 |
+
"learning_rate": 0.00019425361545256727,
|
| 176 |
+
"loss": 0.8697,
|
| 177 |
+
"step": 28
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.49,
|
| 181 |
+
"learning_rate": 0.00019360447378142728,
|
| 182 |
+
"loss": 0.788,
|
| 183 |
+
"step": 29
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.51,
|
| 187 |
+
"learning_rate": 0.00019292180723175654,
|
| 188 |
+
"loss": 0.8215,
|
| 189 |
+
"step": 30
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.53,
|
| 193 |
+
"learning_rate": 0.00019220586030376134,
|
| 194 |
+
"loss": 0.8943,
|
| 195 |
+
"step": 31
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.54,
|
| 199 |
+
"learning_rate": 0.00019145688941717075,
|
| 200 |
+
"loss": 0.7825,
|
| 201 |
+
"step": 32
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.56,
|
| 205 |
+
"learning_rate": 0.00019067516281939825,
|
| 206 |
+
"loss": 0.9878,
|
| 207 |
+
"step": 33
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.58,
|
| 211 |
+
"learning_rate": 0.00018986096048946824,
|
| 212 |
+
"loss": 0.8517,
|
| 213 |
+
"step": 34
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.6,
|
| 217 |
+
"learning_rate": 0.00018901457403773967,
|
| 218 |
+
"loss": 0.8132,
|
| 219 |
+
"step": 35
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.61,
|
| 223 |
+
"learning_rate": 0.00018813630660146488,
|
| 224 |
+
"loss": 0.9143,
|
| 225 |
+
"step": 36
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.63,
|
| 229 |
+
"learning_rate": 0.0001872264727362194,
|
| 230 |
+
"loss": 0.8659,
|
| 231 |
+
"step": 37
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.65,
|
| 235 |
+
"learning_rate": 0.00018628539830324229,
|
| 236 |
+
"loss": 0.7977,
|
| 237 |
+
"step": 38
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.66,
|
| 241 |
+
"learning_rate": 0.00018531342035272766,
|
| 242 |
+
"loss": 0.8188,
|
| 243 |
+
"step": 39
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.68,
|
| 247 |
+
"learning_rate": 0.00018431088700310844,
|
| 248 |
+
"loss": 0.871,
|
| 249 |
+
"step": 40
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.7,
|
| 253 |
+
"learning_rate": 0.00018327815731637612,
|
| 254 |
+
"loss": 0.6939,
|
| 255 |
+
"step": 41
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.71,
|
| 259 |
+
"learning_rate": 0.00018221560116948103,
|
| 260 |
+
"loss": 0.8147,
|
| 261 |
+
"step": 42
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.73,
|
| 265 |
+
"learning_rate": 0.00018112359912185924,
|
| 266 |
+
"loss": 0.8898,
|
| 267 |
+
"step": 43
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.75,
|
| 271 |
+
"learning_rate": 0.00018000254227913348,
|
| 272 |
+
"loss": 0.8074,
|
| 273 |
+
"step": 44
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.77,
|
| 277 |
+
"learning_rate": 0.0001788528321530366,
|
| 278 |
+
"loss": 0.8351,
|
| 279 |
+
"step": 45
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.78,
|
| 283 |
+
"learning_rate": 0.00017767488051760857,
|
| 284 |
+
"loss": 0.8811,
|
| 285 |
+
"step": 46
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.8,
|
| 289 |
+
"learning_rate": 0.00017646910926171747,
|
| 290 |
+
"loss": 0.792,
|
| 291 |
+
"step": 47
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.82,
|
| 295 |
+
"learning_rate": 0.00017523595023795813,
|
| 296 |
+
"loss": 0.8558,
|
| 297 |
+
"step": 48
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.83,
|
| 301 |
+
"learning_rate": 0.0001739758451079821,
|
| 302 |
+
"loss": 0.8308,
|
| 303 |
+
"step": 49
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.85,
|
| 307 |
+
"learning_rate": 0.00017268924518431438,
|
| 308 |
+
"loss": 0.8504,
|
| 309 |
+
"step": 50
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.85,
|
| 313 |
+
"eval_loss": 0.8740054368972778,
|
| 314 |
+
"eval_runtime": 0.8959,
|
| 315 |
+
"eval_samples_per_second": 22.324,
|
| 316 |
+
"eval_steps_per_second": 5.581,
|
| 317 |
+
"step": 50
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.87,
|
| 321 |
+
"learning_rate": 0.0001713766112687139,
|
| 322 |
+
"loss": 0.83,
|
| 323 |
+
"step": 51
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 0.89,
|
| 327 |
+
"learning_rate": 0.0001700384134871351,
|
| 328 |
+
"loss": 0.7499,
|
| 329 |
+
"step": 52
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.9,
|
| 333 |
+
"learning_rate": 0.00016867513112135013,
|
| 334 |
+
"loss": 0.8685,
|
| 335 |
+
"step": 53
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.92,
|
| 339 |
+
"learning_rate": 0.0001672872524372919,
|
| 340 |
+
"loss": 0.807,
|
| 341 |
+
"step": 54
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.94,
|
| 345 |
+
"learning_rate": 0.00016587527451017938,
|
| 346 |
+
"loss": 0.8627,
|
| 347 |
+
"step": 55
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 0.95,
|
| 351 |
+
"learning_rate": 0.0001644397030464877,
|
| 352 |
+
"loss": 0.7606,
|
| 353 |
+
"step": 56
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.97,
|
| 357 |
+
"learning_rate": 0.00016298105220282713,
|
| 358 |
+
"loss": 0.8284,
|
| 359 |
+
"step": 57
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.99,
|
| 363 |
+
"learning_rate": 0.00016149984440179537,
|
| 364 |
+
"loss": 0.8585,
|
| 365 |
+
"step": 58
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 1.0,
|
| 369 |
+
"learning_rate": 0.00015999661014486956,
|
| 370 |
+
"loss": 0.8819,
|
| 371 |
+
"step": 59
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 1.02,
|
| 375 |
+
"learning_rate": 0.0001584718878224047,
|
| 376 |
+
"loss": 0.6723,
|
| 377 |
+
"step": 60
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 1.04,
|
| 381 |
+
"learning_rate": 0.00015692622352080662,
|
| 382 |
+
"loss": 0.7435,
|
| 383 |
+
"step": 61
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 1.06,
|
| 387 |
+
"learning_rate": 0.00015536017082694846,
|
| 388 |
+
"loss": 0.7002,
|
| 389 |
+
"step": 62
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 1.07,
|
| 393 |
+
"learning_rate": 0.00015377429062990122,
|
| 394 |
+
"loss": 0.7433,
|
| 395 |
+
"step": 63
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.09,
|
| 399 |
+
"learning_rate": 0.00015216915092004847,
|
| 400 |
+
"loss": 0.7356,
|
| 401 |
+
"step": 64
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.11,
|
| 405 |
+
"learning_rate": 0.0001505453265856581,
|
| 406 |
+
"loss": 0.7616,
|
| 407 |
+
"step": 65
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 1.12,
|
| 411 |
+
"learning_rate": 0.00014890339920698334,
|
| 412 |
+
"loss": 0.7192,
|
| 413 |
+
"step": 66
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 1.14,
|
| 417 |
+
"learning_rate": 0.0001472439568479671,
|
| 418 |
+
"loss": 0.7354,
|
| 419 |
+
"step": 67
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 1.16,
|
| 423 |
+
"learning_rate": 0.00014556759384562416,
|
| 424 |
+
"loss": 0.7623,
|
| 425 |
+
"step": 68
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 1.17,
|
| 429 |
+
"learning_rate": 0.00014387491059717652,
|
| 430 |
+
"loss": 0.724,
|
| 431 |
+
"step": 69
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 1.19,
|
| 435 |
+
"learning_rate": 0.0001421665133450184,
|
| 436 |
+
"loss": 0.8136,
|
| 437 |
+
"step": 70
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.21,
|
| 441 |
+
"learning_rate": 0.0001404430139595877,
|
| 442 |
+
"loss": 0.8083,
|
| 443 |
+
"step": 71
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.23,
|
| 447 |
+
"learning_rate": 0.00013870502972022173,
|
| 448 |
+
"loss": 0.7054,
|
| 449 |
+
"step": 72
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 1.24,
|
| 453 |
+
"learning_rate": 0.0001369531830940757,
|
| 454 |
+
"loss": 0.7301,
|
| 455 |
+
"step": 73
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 1.26,
|
| 459 |
+
"learning_rate": 0.0001351881015131833,
|
| 460 |
+
"loss": 0.6925,
|
| 461 |
+
"step": 74
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 1.28,
|
| 465 |
+
"learning_rate": 0.000133410417149739,
|
| 466 |
+
"loss": 0.7191,
|
| 467 |
+
"step": 75
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 1.29,
|
| 471 |
+
"learning_rate": 0.0001316207666896824,
|
| 472 |
+
"loss": 0.6814,
|
| 473 |
+
"step": 76
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 1.31,
|
| 477 |
+
"learning_rate": 0.00012981979110466654,
|
| 478 |
+
"loss": 0.6916,
|
| 479 |
+
"step": 77
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.33,
|
| 483 |
+
"learning_rate": 0.00012800813542249072,
|
| 484 |
+
"loss": 0.5781,
|
| 485 |
+
"step": 78
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 1.34,
|
| 489 |
+
"learning_rate": 0.0001261864484960807,
|
| 490 |
+
"loss": 0.8074,
|
| 491 |
+
"step": 79
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 1.36,
|
| 495 |
+
"learning_rate": 0.0001243553827710992,
|
| 496 |
+
"loss": 0.6563,
|
| 497 |
+
"step": 80
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 1.38,
|
| 501 |
+
"learning_rate": 0.00012251559405226941,
|
| 502 |
+
"loss": 0.6436,
|
| 503 |
+
"step": 81
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 1.4,
|
| 507 |
+
"learning_rate": 0.00012066774126849529,
|
| 508 |
+
"loss": 0.7692,
|
| 509 |
+
"step": 82
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 1.41,
|
| 513 |
+
"learning_rate": 0.00011881248623686338,
|
| 514 |
+
"loss": 0.6265,
|
| 515 |
+
"step": 83
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 1.43,
|
| 519 |
+
"learning_rate": 0.00011695049342560968,
|
| 520 |
+
"loss": 0.5772,
|
| 521 |
+
"step": 84
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.45,
|
| 525 |
+
"learning_rate": 0.00011508242971613741,
|
| 526 |
+
"loss": 0.6841,
|
| 527 |
+
"step": 85
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 1.46,
|
| 531 |
+
"learning_rate": 0.00011320896416417026,
|
| 532 |
+
"loss": 0.7439,
|
| 533 |
+
"step": 86
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 1.48,
|
| 537 |
+
"learning_rate": 0.000111330767760127,
|
| 538 |
+
"loss": 0.7303,
|
| 539 |
+
"step": 87
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 1.5,
|
| 543 |
+
"learning_rate": 0.00010944851318880314,
|
| 544 |
+
"loss": 0.7767,
|
| 545 |
+
"step": 88
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 1.51,
|
| 549 |
+
"learning_rate": 0.00010756287458844569,
|
| 550 |
+
"loss": 0.6361,
|
| 551 |
+
"step": 89
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 1.53,
|
| 555 |
+
"learning_rate": 0.00010567452730930743,
|
| 556 |
+
"loss": 0.6535,
|
| 557 |
+
"step": 90
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 1.55,
|
| 561 |
+
"learning_rate": 0.00010378414767176705,
|
| 562 |
+
"loss": 0.7178,
|
| 563 |
+
"step": 91
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.57,
|
| 567 |
+
"learning_rate": 0.0001018924127241019,
|
| 568 |
+
"loss": 0.6977,
|
| 569 |
+
"step": 92
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 1.58,
|
| 573 |
+
"learning_rate": 0.0001,
|
| 574 |
+
"loss": 0.704,
|
| 575 |
+
"step": 93
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 1.6,
|
| 579 |
+
"learning_rate": 9.810758727589813e-05,
|
| 580 |
+
"loss": 0.8041,
|
| 581 |
+
"step": 94
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 1.62,
|
| 585 |
+
"learning_rate": 9.621585232823298e-05,
|
| 586 |
+
"loss": 0.7026,
|
| 587 |
+
"step": 95
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 1.63,
|
| 591 |
+
"learning_rate": 9.432547269069261e-05,
|
| 592 |
+
"loss": 0.6892,
|
| 593 |
+
"step": 96
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 1.65,
|
| 597 |
+
"learning_rate": 9.243712541155436e-05,
|
| 598 |
+
"loss": 0.7073,
|
| 599 |
+
"step": 97
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 1.67,
|
| 603 |
+
"learning_rate": 9.055148681119688e-05,
|
| 604 |
+
"loss": 0.7765,
|
| 605 |
+
"step": 98
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.69,
|
| 609 |
+
"learning_rate": 8.866923223987302e-05,
|
| 610 |
+
"loss": 0.6896,
|
| 611 |
+
"step": 99
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 1.7,
|
| 615 |
+
"learning_rate": 8.679103583582979e-05,
|
| 616 |
+
"loss": 0.6527,
|
| 617 |
+
"step": 100
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 1.7,
|
| 621 |
+
"eval_loss": 0.8596932291984558,
|
| 622 |
+
"eval_runtime": 0.897,
|
| 623 |
+
"eval_samples_per_second": 22.297,
|
| 624 |
+
"eval_steps_per_second": 5.574,
|
| 625 |
+
"step": 100
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 1.72,
|
| 629 |
+
"learning_rate": 8.491757028386263e-05,
|
| 630 |
+
"loss": 0.6335,
|
| 631 |
+
"step": 101
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 1.74,
|
| 635 |
+
"learning_rate": 8.304950657439033e-05,
|
| 636 |
+
"loss": 0.6348,
|
| 637 |
+
"step": 102
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 1.75,
|
| 641 |
+
"learning_rate": 8.118751376313664e-05,
|
| 642 |
+
"loss": 0.6983,
|
| 643 |
+
"step": 103
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 1.77,
|
| 647 |
+
"learning_rate": 7.93322587315047e-05,
|
| 648 |
+
"loss": 0.7995,
|
| 649 |
+
"step": 104
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 1.79,
|
| 653 |
+
"learning_rate": 7.74844059477306e-05,
|
| 654 |
+
"loss": 0.654,
|
| 655 |
+
"step": 105
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 1.8,
|
| 659 |
+
"learning_rate": 7.564461722890081e-05,
|
| 660 |
+
"loss": 0.6507,
|
| 661 |
+
"step": 106
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.82,
|
| 665 |
+
"learning_rate": 7.381355150391933e-05,
|
| 666 |
+
"loss": 0.6623,
|
| 667 |
+
"step": 107
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 1.84,
|
| 671 |
+
"learning_rate": 7.19918645775093e-05,
|
| 672 |
+
"loss": 0.7539,
|
| 673 |
+
"step": 108
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 1.86,
|
| 677 |
+
"learning_rate": 7.018020889533348e-05,
|
| 678 |
+
"loss": 0.755,
|
| 679 |
+
"step": 109
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 1.87,
|
| 683 |
+
"learning_rate": 6.83792333103176e-05,
|
| 684 |
+
"loss": 0.6394,
|
| 685 |
+
"step": 110
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 1.89,
|
| 689 |
+
"learning_rate": 6.658958285026102e-05,
|
| 690 |
+
"loss": 0.7545,
|
| 691 |
+
"step": 111
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 1.91,
|
| 695 |
+
"learning_rate": 6.48118984868167e-05,
|
| 696 |
+
"loss": 0.7215,
|
| 697 |
+
"step": 112
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 1.92,
|
| 701 |
+
"learning_rate": 6.304681690592431e-05,
|
| 702 |
+
"loss": 0.581,
|
| 703 |
+
"step": 113
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.94,
|
| 707 |
+
"learning_rate": 6.129497027977829e-05,
|
| 708 |
+
"loss": 0.673,
|
| 709 |
+
"step": 114
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 1.96,
|
| 713 |
+
"learning_rate": 5.955698604041231e-05,
|
| 714 |
+
"loss": 0.6878,
|
| 715 |
+
"step": 115
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 1.97,
|
| 719 |
+
"learning_rate": 5.7833486654981606e-05,
|
| 720 |
+
"loss": 0.738,
|
| 721 |
+
"step": 116
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 1.99,
|
| 725 |
+
"learning_rate": 5.6125089402823485e-05,
|
| 726 |
+
"loss": 0.812,
|
| 727 |
+
"step": 117
|
| 728 |
+
}
|
| 729 |
+
],
|
| 730 |
+
"logging_steps": 1,
|
| 731 |
+
"max_steps": 174,
|
| 732 |
+
"num_train_epochs": 3,
|
| 733 |
+
"save_steps": 500,
|
| 734 |
+
"total_flos": 5053549897973760.0,
|
| 735 |
+
"trial_name": null,
|
| 736 |
+
"trial_params": null
|
| 737 |
+
}
|
checkpoint-117/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:559e05578fbf1f6e78fc368cebf479663b2065af16b04f27bd99e7e2b2e8f04f
|
| 3 |
+
size 4155
|
checkpoint-174/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0.dev0
|
checkpoint-174/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "openlm-research/open_llama_3b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 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": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-174/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dbe5aa95043aa532cd69c2de2275ff0da626799b146f8b1fc0d9a27104e97ae1
|
| 3 |
+
size 50982397
|
checkpoint-174/adapter_model/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0.dev0
|
checkpoint-174/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "openlm-research/open_llama_3b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 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": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-174/adapter_model/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dbe5aa95043aa532cd69c2de2275ff0da626799b146f8b1fc0d9a27104e97ae1
|
| 3 |
+
size 50982397
|
checkpoint-174/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6f7882c325d071ed5373d6f2f92186cb51ad9a34bd205cbe3b4bc515a50b671f
|
| 3 |
+
size 25871055
|
checkpoint-174/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6dd3a816ab8628e6038ecf426e93a907752049203fbc39b63fcde557182a866f
|
| 3 |
+
size 14575
|
checkpoint-174/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd8538969d1b6e3c157459906d597cb3ca4c31e75dc24b6f36711f2acf24b57c
|
| 3 |
+
size 627
|
checkpoint-174/trainer_state.json
ADDED
|
@@ -0,0 +1,1087 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.9617021276595743,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 174,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02,
|
| 13 |
+
"learning_rate": 2e-05,
|
| 14 |
+
"loss": 1.6896,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.03,
|
| 19 |
+
"learning_rate": 4e-05,
|
| 20 |
+
"loss": 1.632,
|
| 21 |
+
"step": 2
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.05,
|
| 25 |
+
"learning_rate": 6e-05,
|
| 26 |
+
"loss": 1.7197,
|
| 27 |
+
"step": 3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.07,
|
| 31 |
+
"learning_rate": 8e-05,
|
| 32 |
+
"loss": 1.6988,
|
| 33 |
+
"step": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.09,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"loss": 1.4945,
|
| 39 |
+
"step": 5
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.1,
|
| 43 |
+
"learning_rate": 0.00012,
|
| 44 |
+
"loss": 1.4763,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 0.00014,
|
| 50 |
+
"loss": 1.4645,
|
| 51 |
+
"step": 7
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.14,
|
| 55 |
+
"learning_rate": 0.00016,
|
| 56 |
+
"loss": 1.1569,
|
| 57 |
+
"step": 8
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.15,
|
| 61 |
+
"learning_rate": 0.00018,
|
| 62 |
+
"loss": 1.4501,
|
| 63 |
+
"step": 9
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.17,
|
| 67 |
+
"learning_rate": 0.0002,
|
| 68 |
+
"loss": 1.1972,
|
| 69 |
+
"step": 10
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.19,
|
| 73 |
+
"learning_rate": 0.00019998209226697376,
|
| 74 |
+
"loss": 1.1479,
|
| 75 |
+
"step": 11
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 0.00019992837548163316,
|
| 80 |
+
"loss": 1.1791,
|
| 81 |
+
"step": 12
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.22,
|
| 85 |
+
"learning_rate": 0.00019983886888289514,
|
| 86 |
+
"loss": 1.1471,
|
| 87 |
+
"step": 13
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.24,
|
| 91 |
+
"learning_rate": 0.00019971360452796522,
|
| 92 |
+
"loss": 0.9662,
|
| 93 |
+
"step": 14
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.26,
|
| 97 |
+
"learning_rate": 0.0001995526272808559,
|
| 98 |
+
"loss": 1.2166,
|
| 99 |
+
"step": 15
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.27,
|
| 103 |
+
"learning_rate": 0.0001993559947963185,
|
| 104 |
+
"loss": 1.1023,
|
| 105 |
+
"step": 16
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 0.00019912377749919374,
|
| 110 |
+
"loss": 0.9719,
|
| 111 |
+
"step": 17
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.31,
|
| 115 |
+
"learning_rate": 0.00019885605855918885,
|
| 116 |
+
"loss": 0.9122,
|
| 117 |
+
"step": 18
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.32,
|
| 121 |
+
"learning_rate": 0.00019855293386108992,
|
| 122 |
+
"loss": 0.8808,
|
| 123 |
+
"step": 19
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.34,
|
| 127 |
+
"learning_rate": 0.00019821451197042026,
|
| 128 |
+
"loss": 1.0081,
|
| 129 |
+
"step": 20
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.36,
|
| 133 |
+
"learning_rate": 0.00019784091409455728,
|
| 134 |
+
"loss": 1.0147,
|
| 135 |
+
"step": 21
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 0.00019743227403932134,
|
| 140 |
+
"loss": 0.8792,
|
| 141 |
+
"step": 22
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.39,
|
| 145 |
+
"learning_rate": 0.00019698873816105273,
|
| 146 |
+
"loss": 0.8762,
|
| 147 |
+
"step": 23
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.41,
|
| 151 |
+
"learning_rate": 0.00019651046531419332,
|
| 152 |
+
"loss": 0.7916,
|
| 153 |
+
"step": 24
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.43,
|
| 157 |
+
"learning_rate": 0.0001959976267943923,
|
| 158 |
+
"loss": 0.8967,
|
| 159 |
+
"step": 25
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.44,
|
| 163 |
+
"learning_rate": 0.0001954504062771555,
|
| 164 |
+
"loss": 1.0575,
|
| 165 |
+
"step": 26
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.46,
|
| 169 |
+
"learning_rate": 0.00019486899975206166,
|
| 170 |
+
"loss": 0.9374,
|
| 171 |
+
"step": 27
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.48,
|
| 175 |
+
"learning_rate": 0.00019425361545256727,
|
| 176 |
+
"loss": 0.8697,
|
| 177 |
+
"step": 28
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.49,
|
| 181 |
+
"learning_rate": 0.00019360447378142728,
|
| 182 |
+
"loss": 0.788,
|
| 183 |
+
"step": 29
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.51,
|
| 187 |
+
"learning_rate": 0.00019292180723175654,
|
| 188 |
+
"loss": 0.8215,
|
| 189 |
+
"step": 30
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.53,
|
| 193 |
+
"learning_rate": 0.00019220586030376134,
|
| 194 |
+
"loss": 0.8943,
|
| 195 |
+
"step": 31
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.54,
|
| 199 |
+
"learning_rate": 0.00019145688941717075,
|
| 200 |
+
"loss": 0.7825,
|
| 201 |
+
"step": 32
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.56,
|
| 205 |
+
"learning_rate": 0.00019067516281939825,
|
| 206 |
+
"loss": 0.9878,
|
| 207 |
+
"step": 33
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.58,
|
| 211 |
+
"learning_rate": 0.00018986096048946824,
|
| 212 |
+
"loss": 0.8517,
|
| 213 |
+
"step": 34
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.6,
|
| 217 |
+
"learning_rate": 0.00018901457403773967,
|
| 218 |
+
"loss": 0.8132,
|
| 219 |
+
"step": 35
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.61,
|
| 223 |
+
"learning_rate": 0.00018813630660146488,
|
| 224 |
+
"loss": 0.9143,
|
| 225 |
+
"step": 36
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.63,
|
| 229 |
+
"learning_rate": 0.0001872264727362194,
|
| 230 |
+
"loss": 0.8659,
|
| 231 |
+
"step": 37
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.65,
|
| 235 |
+
"learning_rate": 0.00018628539830324229,
|
| 236 |
+
"loss": 0.7977,
|
| 237 |
+
"step": 38
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.66,
|
| 241 |
+
"learning_rate": 0.00018531342035272766,
|
| 242 |
+
"loss": 0.8188,
|
| 243 |
+
"step": 39
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.68,
|
| 247 |
+
"learning_rate": 0.00018431088700310844,
|
| 248 |
+
"loss": 0.871,
|
| 249 |
+
"step": 40
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.7,
|
| 253 |
+
"learning_rate": 0.00018327815731637612,
|
| 254 |
+
"loss": 0.6939,
|
| 255 |
+
"step": 41
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.71,
|
| 259 |
+
"learning_rate": 0.00018221560116948103,
|
| 260 |
+
"loss": 0.8147,
|
| 261 |
+
"step": 42
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.73,
|
| 265 |
+
"learning_rate": 0.00018112359912185924,
|
| 266 |
+
"loss": 0.8898,
|
| 267 |
+
"step": 43
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.75,
|
| 271 |
+
"learning_rate": 0.00018000254227913348,
|
| 272 |
+
"loss": 0.8074,
|
| 273 |
+
"step": 44
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.77,
|
| 277 |
+
"learning_rate": 0.0001788528321530366,
|
| 278 |
+
"loss": 0.8351,
|
| 279 |
+
"step": 45
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.78,
|
| 283 |
+
"learning_rate": 0.00017767488051760857,
|
| 284 |
+
"loss": 0.8811,
|
| 285 |
+
"step": 46
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.8,
|
| 289 |
+
"learning_rate": 0.00017646910926171747,
|
| 290 |
+
"loss": 0.792,
|
| 291 |
+
"step": 47
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.82,
|
| 295 |
+
"learning_rate": 0.00017523595023795813,
|
| 296 |
+
"loss": 0.8558,
|
| 297 |
+
"step": 48
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.83,
|
| 301 |
+
"learning_rate": 0.0001739758451079821,
|
| 302 |
+
"loss": 0.8308,
|
| 303 |
+
"step": 49
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.85,
|
| 307 |
+
"learning_rate": 0.00017268924518431438,
|
| 308 |
+
"loss": 0.8504,
|
| 309 |
+
"step": 50
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.85,
|
| 313 |
+
"eval_loss": 0.8740054368972778,
|
| 314 |
+
"eval_runtime": 0.8959,
|
| 315 |
+
"eval_samples_per_second": 22.324,
|
| 316 |
+
"eval_steps_per_second": 5.581,
|
| 317 |
+
"step": 50
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.87,
|
| 321 |
+
"learning_rate": 0.0001713766112687139,
|
| 322 |
+
"loss": 0.83,
|
| 323 |
+
"step": 51
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 0.89,
|
| 327 |
+
"learning_rate": 0.0001700384134871351,
|
| 328 |
+
"loss": 0.7499,
|
| 329 |
+
"step": 52
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.9,
|
| 333 |
+
"learning_rate": 0.00016867513112135013,
|
| 334 |
+
"loss": 0.8685,
|
| 335 |
+
"step": 53
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.92,
|
| 339 |
+
"learning_rate": 0.0001672872524372919,
|
| 340 |
+
"loss": 0.807,
|
| 341 |
+
"step": 54
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.94,
|
| 345 |
+
"learning_rate": 0.00016587527451017938,
|
| 346 |
+
"loss": 0.8627,
|
| 347 |
+
"step": 55
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 0.95,
|
| 351 |
+
"learning_rate": 0.0001644397030464877,
|
| 352 |
+
"loss": 0.7606,
|
| 353 |
+
"step": 56
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.97,
|
| 357 |
+
"learning_rate": 0.00016298105220282713,
|
| 358 |
+
"loss": 0.8284,
|
| 359 |
+
"step": 57
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.99,
|
| 363 |
+
"learning_rate": 0.00016149984440179537,
|
| 364 |
+
"loss": 0.8585,
|
| 365 |
+
"step": 58
|
| 366 |
+
},
|
| 367 |
+
{
|
| 368 |
+
"epoch": 1.0,
|
| 369 |
+
"learning_rate": 0.00015999661014486956,
|
| 370 |
+
"loss": 0.8819,
|
| 371 |
+
"step": 59
|
| 372 |
+
},
|
| 373 |
+
{
|
| 374 |
+
"epoch": 1.02,
|
| 375 |
+
"learning_rate": 0.0001584718878224047,
|
| 376 |
+
"loss": 0.6723,
|
| 377 |
+
"step": 60
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 1.04,
|
| 381 |
+
"learning_rate": 0.00015692622352080662,
|
| 382 |
+
"loss": 0.7435,
|
| 383 |
+
"step": 61
|
| 384 |
+
},
|
| 385 |
+
{
|
| 386 |
+
"epoch": 1.06,
|
| 387 |
+
"learning_rate": 0.00015536017082694846,
|
| 388 |
+
"loss": 0.7002,
|
| 389 |
+
"step": 62
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 1.07,
|
| 393 |
+
"learning_rate": 0.00015377429062990122,
|
| 394 |
+
"loss": 0.7433,
|
| 395 |
+
"step": 63
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 1.09,
|
| 399 |
+
"learning_rate": 0.00015216915092004847,
|
| 400 |
+
"loss": 0.7356,
|
| 401 |
+
"step": 64
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.11,
|
| 405 |
+
"learning_rate": 0.0001505453265856581,
|
| 406 |
+
"loss": 0.7616,
|
| 407 |
+
"step": 65
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 1.12,
|
| 411 |
+
"learning_rate": 0.00014890339920698334,
|
| 412 |
+
"loss": 0.7192,
|
| 413 |
+
"step": 66
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 1.14,
|
| 417 |
+
"learning_rate": 0.0001472439568479671,
|
| 418 |
+
"loss": 0.7354,
|
| 419 |
+
"step": 67
|
| 420 |
+
},
|
| 421 |
+
{
|
| 422 |
+
"epoch": 1.16,
|
| 423 |
+
"learning_rate": 0.00014556759384562416,
|
| 424 |
+
"loss": 0.7623,
|
| 425 |
+
"step": 68
|
| 426 |
+
},
|
| 427 |
+
{
|
| 428 |
+
"epoch": 1.17,
|
| 429 |
+
"learning_rate": 0.00014387491059717652,
|
| 430 |
+
"loss": 0.724,
|
| 431 |
+
"step": 69
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 1.19,
|
| 435 |
+
"learning_rate": 0.0001421665133450184,
|
| 436 |
+
"loss": 0.8136,
|
| 437 |
+
"step": 70
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.21,
|
| 441 |
+
"learning_rate": 0.0001404430139595877,
|
| 442 |
+
"loss": 0.8083,
|
| 443 |
+
"step": 71
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 1.23,
|
| 447 |
+
"learning_rate": 0.00013870502972022173,
|
| 448 |
+
"loss": 0.7054,
|
| 449 |
+
"step": 72
|
| 450 |
+
},
|
| 451 |
+
{
|
| 452 |
+
"epoch": 1.24,
|
| 453 |
+
"learning_rate": 0.0001369531830940757,
|
| 454 |
+
"loss": 0.7301,
|
| 455 |
+
"step": 73
|
| 456 |
+
},
|
| 457 |
+
{
|
| 458 |
+
"epoch": 1.26,
|
| 459 |
+
"learning_rate": 0.0001351881015131833,
|
| 460 |
+
"loss": 0.6925,
|
| 461 |
+
"step": 74
|
| 462 |
+
},
|
| 463 |
+
{
|
| 464 |
+
"epoch": 1.28,
|
| 465 |
+
"learning_rate": 0.000133410417149739,
|
| 466 |
+
"loss": 0.7191,
|
| 467 |
+
"step": 75
|
| 468 |
+
},
|
| 469 |
+
{
|
| 470 |
+
"epoch": 1.29,
|
| 471 |
+
"learning_rate": 0.0001316207666896824,
|
| 472 |
+
"loss": 0.6814,
|
| 473 |
+
"step": 76
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 1.31,
|
| 477 |
+
"learning_rate": 0.00012981979110466654,
|
| 478 |
+
"loss": 0.6916,
|
| 479 |
+
"step": 77
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 1.33,
|
| 483 |
+
"learning_rate": 0.00012800813542249072,
|
| 484 |
+
"loss": 0.5781,
|
| 485 |
+
"step": 78
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 1.34,
|
| 489 |
+
"learning_rate": 0.0001261864484960807,
|
| 490 |
+
"loss": 0.8074,
|
| 491 |
+
"step": 79
|
| 492 |
+
},
|
| 493 |
+
{
|
| 494 |
+
"epoch": 1.36,
|
| 495 |
+
"learning_rate": 0.0001243553827710992,
|
| 496 |
+
"loss": 0.6563,
|
| 497 |
+
"step": 80
|
| 498 |
+
},
|
| 499 |
+
{
|
| 500 |
+
"epoch": 1.38,
|
| 501 |
+
"learning_rate": 0.00012251559405226941,
|
| 502 |
+
"loss": 0.6436,
|
| 503 |
+
"step": 81
|
| 504 |
+
},
|
| 505 |
+
{
|
| 506 |
+
"epoch": 1.4,
|
| 507 |
+
"learning_rate": 0.00012066774126849529,
|
| 508 |
+
"loss": 0.7692,
|
| 509 |
+
"step": 82
|
| 510 |
+
},
|
| 511 |
+
{
|
| 512 |
+
"epoch": 1.41,
|
| 513 |
+
"learning_rate": 0.00011881248623686338,
|
| 514 |
+
"loss": 0.6265,
|
| 515 |
+
"step": 83
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 1.43,
|
| 519 |
+
"learning_rate": 0.00011695049342560968,
|
| 520 |
+
"loss": 0.5772,
|
| 521 |
+
"step": 84
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 1.45,
|
| 525 |
+
"learning_rate": 0.00011508242971613741,
|
| 526 |
+
"loss": 0.6841,
|
| 527 |
+
"step": 85
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 1.46,
|
| 531 |
+
"learning_rate": 0.00011320896416417026,
|
| 532 |
+
"loss": 0.7439,
|
| 533 |
+
"step": 86
|
| 534 |
+
},
|
| 535 |
+
{
|
| 536 |
+
"epoch": 1.48,
|
| 537 |
+
"learning_rate": 0.000111330767760127,
|
| 538 |
+
"loss": 0.7303,
|
| 539 |
+
"step": 87
|
| 540 |
+
},
|
| 541 |
+
{
|
| 542 |
+
"epoch": 1.5,
|
| 543 |
+
"learning_rate": 0.00010944851318880314,
|
| 544 |
+
"loss": 0.7767,
|
| 545 |
+
"step": 88
|
| 546 |
+
},
|
| 547 |
+
{
|
| 548 |
+
"epoch": 1.51,
|
| 549 |
+
"learning_rate": 0.00010756287458844569,
|
| 550 |
+
"loss": 0.6361,
|
| 551 |
+
"step": 89
|
| 552 |
+
},
|
| 553 |
+
{
|
| 554 |
+
"epoch": 1.53,
|
| 555 |
+
"learning_rate": 0.00010567452730930743,
|
| 556 |
+
"loss": 0.6535,
|
| 557 |
+
"step": 90
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 1.55,
|
| 561 |
+
"learning_rate": 0.00010378414767176705,
|
| 562 |
+
"loss": 0.7178,
|
| 563 |
+
"step": 91
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 1.57,
|
| 567 |
+
"learning_rate": 0.0001018924127241019,
|
| 568 |
+
"loss": 0.6977,
|
| 569 |
+
"step": 92
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 1.58,
|
| 573 |
+
"learning_rate": 0.0001,
|
| 574 |
+
"loss": 0.704,
|
| 575 |
+
"step": 93
|
| 576 |
+
},
|
| 577 |
+
{
|
| 578 |
+
"epoch": 1.6,
|
| 579 |
+
"learning_rate": 9.810758727589813e-05,
|
| 580 |
+
"loss": 0.8041,
|
| 581 |
+
"step": 94
|
| 582 |
+
},
|
| 583 |
+
{
|
| 584 |
+
"epoch": 1.62,
|
| 585 |
+
"learning_rate": 9.621585232823298e-05,
|
| 586 |
+
"loss": 0.7026,
|
| 587 |
+
"step": 95
|
| 588 |
+
},
|
| 589 |
+
{
|
| 590 |
+
"epoch": 1.63,
|
| 591 |
+
"learning_rate": 9.432547269069261e-05,
|
| 592 |
+
"loss": 0.6892,
|
| 593 |
+
"step": 96
|
| 594 |
+
},
|
| 595 |
+
{
|
| 596 |
+
"epoch": 1.65,
|
| 597 |
+
"learning_rate": 9.243712541155436e-05,
|
| 598 |
+
"loss": 0.7073,
|
| 599 |
+
"step": 97
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 1.67,
|
| 603 |
+
"learning_rate": 9.055148681119688e-05,
|
| 604 |
+
"loss": 0.7765,
|
| 605 |
+
"step": 98
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 1.69,
|
| 609 |
+
"learning_rate": 8.866923223987302e-05,
|
| 610 |
+
"loss": 0.6896,
|
| 611 |
+
"step": 99
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 1.7,
|
| 615 |
+
"learning_rate": 8.679103583582979e-05,
|
| 616 |
+
"loss": 0.6527,
|
| 617 |
+
"step": 100
|
| 618 |
+
},
|
| 619 |
+
{
|
| 620 |
+
"epoch": 1.7,
|
| 621 |
+
"eval_loss": 0.8596932291984558,
|
| 622 |
+
"eval_runtime": 0.897,
|
| 623 |
+
"eval_samples_per_second": 22.297,
|
| 624 |
+
"eval_steps_per_second": 5.574,
|
| 625 |
+
"step": 100
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 1.72,
|
| 629 |
+
"learning_rate": 8.491757028386263e-05,
|
| 630 |
+
"loss": 0.6335,
|
| 631 |
+
"step": 101
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 1.74,
|
| 635 |
+
"learning_rate": 8.304950657439033e-05,
|
| 636 |
+
"loss": 0.6348,
|
| 637 |
+
"step": 102
|
| 638 |
+
},
|
| 639 |
+
{
|
| 640 |
+
"epoch": 1.75,
|
| 641 |
+
"learning_rate": 8.118751376313664e-05,
|
| 642 |
+
"loss": 0.6983,
|
| 643 |
+
"step": 103
|
| 644 |
+
},
|
| 645 |
+
{
|
| 646 |
+
"epoch": 1.77,
|
| 647 |
+
"learning_rate": 7.93322587315047e-05,
|
| 648 |
+
"loss": 0.7995,
|
| 649 |
+
"step": 104
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"epoch": 1.79,
|
| 653 |
+
"learning_rate": 7.74844059477306e-05,
|
| 654 |
+
"loss": 0.654,
|
| 655 |
+
"step": 105
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 1.8,
|
| 659 |
+
"learning_rate": 7.564461722890081e-05,
|
| 660 |
+
"loss": 0.6507,
|
| 661 |
+
"step": 106
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 1.82,
|
| 665 |
+
"learning_rate": 7.381355150391933e-05,
|
| 666 |
+
"loss": 0.6623,
|
| 667 |
+
"step": 107
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 1.84,
|
| 671 |
+
"learning_rate": 7.19918645775093e-05,
|
| 672 |
+
"loss": 0.7539,
|
| 673 |
+
"step": 108
|
| 674 |
+
},
|
| 675 |
+
{
|
| 676 |
+
"epoch": 1.86,
|
| 677 |
+
"learning_rate": 7.018020889533348e-05,
|
| 678 |
+
"loss": 0.755,
|
| 679 |
+
"step": 109
|
| 680 |
+
},
|
| 681 |
+
{
|
| 682 |
+
"epoch": 1.87,
|
| 683 |
+
"learning_rate": 6.83792333103176e-05,
|
| 684 |
+
"loss": 0.6394,
|
| 685 |
+
"step": 110
|
| 686 |
+
},
|
| 687 |
+
{
|
| 688 |
+
"epoch": 1.89,
|
| 689 |
+
"learning_rate": 6.658958285026102e-05,
|
| 690 |
+
"loss": 0.7545,
|
| 691 |
+
"step": 111
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 1.91,
|
| 695 |
+
"learning_rate": 6.48118984868167e-05,
|
| 696 |
+
"loss": 0.7215,
|
| 697 |
+
"step": 112
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 1.92,
|
| 701 |
+
"learning_rate": 6.304681690592431e-05,
|
| 702 |
+
"loss": 0.581,
|
| 703 |
+
"step": 113
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 1.94,
|
| 707 |
+
"learning_rate": 6.129497027977829e-05,
|
| 708 |
+
"loss": 0.673,
|
| 709 |
+
"step": 114
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 1.96,
|
| 713 |
+
"learning_rate": 5.955698604041231e-05,
|
| 714 |
+
"loss": 0.6878,
|
| 715 |
+
"step": 115
|
| 716 |
+
},
|
| 717 |
+
{
|
| 718 |
+
"epoch": 1.97,
|
| 719 |
+
"learning_rate": 5.7833486654981606e-05,
|
| 720 |
+
"loss": 0.738,
|
| 721 |
+
"step": 116
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 1.99,
|
| 725 |
+
"learning_rate": 5.6125089402823485e-05,
|
| 726 |
+
"loss": 0.812,
|
| 727 |
+
"step": 117
|
| 728 |
+
},
|
| 729 |
+
{
|
| 730 |
+
"epoch": 2.01,
|
| 731 |
+
"learning_rate": 5.443240615437586e-05,
|
| 732 |
+
"loss": 0.5997,
|
| 733 |
+
"step": 118
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 2.03,
|
| 737 |
+
"learning_rate": 5.275604315203293e-05,
|
| 738 |
+
"loss": 0.6187,
|
| 739 |
+
"step": 119
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 2.04,
|
| 743 |
+
"learning_rate": 5.109660079301668e-05,
|
| 744 |
+
"loss": 0.7232,
|
| 745 |
+
"step": 120
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 2.06,
|
| 749 |
+
"learning_rate": 4.945467341434195e-05,
|
| 750 |
+
"loss": 0.7089,
|
| 751 |
+
"step": 121
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 2.08,
|
| 755 |
+
"learning_rate": 4.783084907995156e-05,
|
| 756 |
+
"loss": 0.6914,
|
| 757 |
+
"step": 122
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"epoch": 2.09,
|
| 761 |
+
"learning_rate": 4.622570937009879e-05,
|
| 762 |
+
"loss": 0.6114,
|
| 763 |
+
"step": 123
|
| 764 |
+
},
|
| 765 |
+
{
|
| 766 |
+
"epoch": 2.11,
|
| 767 |
+
"learning_rate": 4.4639829173051554e-05,
|
| 768 |
+
"loss": 0.5577,
|
| 769 |
+
"step": 124
|
| 770 |
+
},
|
| 771 |
+
{
|
| 772 |
+
"epoch": 2.13,
|
| 773 |
+
"learning_rate": 4.307377647919343e-05,
|
| 774 |
+
"loss": 0.6421,
|
| 775 |
+
"step": 125
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 2.14,
|
| 779 |
+
"learning_rate": 4.152811217759529e-05,
|
| 780 |
+
"loss": 0.6418,
|
| 781 |
+
"step": 126
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 2.16,
|
| 785 |
+
"learning_rate": 4.000338985513046e-05,
|
| 786 |
+
"loss": 0.6358,
|
| 787 |
+
"step": 127
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 2.18,
|
| 791 |
+
"learning_rate": 3.8500155598204644e-05,
|
| 792 |
+
"loss": 0.6426,
|
| 793 |
+
"step": 128
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 2.2,
|
| 797 |
+
"learning_rate": 3.701894779717286e-05,
|
| 798 |
+
"loss": 0.5322,
|
| 799 |
+
"step": 129
|
| 800 |
+
},
|
| 801 |
+
{
|
| 802 |
+
"epoch": 2.21,
|
| 803 |
+
"learning_rate": 3.5560296953512295e-05,
|
| 804 |
+
"loss": 0.635,
|
| 805 |
+
"step": 130
|
| 806 |
+
},
|
| 807 |
+
{
|
| 808 |
+
"epoch": 2.23,
|
| 809 |
+
"learning_rate": 3.4124725489820645e-05,
|
| 810 |
+
"loss": 0.5777,
|
| 811 |
+
"step": 131
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 2.25,
|
| 815 |
+
"learning_rate": 3.2712747562708115e-05,
|
| 816 |
+
"loss": 0.7093,
|
| 817 |
+
"step": 132
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 2.26,
|
| 821 |
+
"learning_rate": 3.132486887864992e-05,
|
| 822 |
+
"loss": 0.5785,
|
| 823 |
+
"step": 133
|
| 824 |
+
},
|
| 825 |
+
{
|
| 826 |
+
"epoch": 2.28,
|
| 827 |
+
"learning_rate": 2.9961586512864947e-05,
|
| 828 |
+
"loss": 0.5838,
|
| 829 |
+
"step": 134
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 2.3,
|
| 833 |
+
"learning_rate": 2.8623388731286093e-05,
|
| 834 |
+
"loss": 0.5222,
|
| 835 |
+
"step": 135
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 2.31,
|
| 839 |
+
"learning_rate": 2.7310754815685624e-05,
|
| 840 |
+
"loss": 0.6518,
|
| 841 |
+
"step": 136
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 2.33,
|
| 845 |
+
"learning_rate": 2.6024154892017937e-05,
|
| 846 |
+
"loss": 0.5586,
|
| 847 |
+
"step": 137
|
| 848 |
+
},
|
| 849 |
+
{
|
| 850 |
+
"epoch": 2.35,
|
| 851 |
+
"learning_rate": 2.4764049762041874e-05,
|
| 852 |
+
"loss": 0.5685,
|
| 853 |
+
"step": 138
|
| 854 |
+
},
|
| 855 |
+
{
|
| 856 |
+
"epoch": 2.37,
|
| 857 |
+
"learning_rate": 2.353089073828255e-05,
|
| 858 |
+
"loss": 0.5602,
|
| 859 |
+
"step": 139
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 2.38,
|
| 863 |
+
"learning_rate": 2.2325119482391467e-05,
|
| 864 |
+
"loss": 0.6436,
|
| 865 |
+
"step": 140
|
| 866 |
+
},
|
| 867 |
+
{
|
| 868 |
+
"epoch": 2.4,
|
| 869 |
+
"learning_rate": 2.1147167846963422e-05,
|
| 870 |
+
"loss": 0.6939,
|
| 871 |
+
"step": 141
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 2.42,
|
| 875 |
+
"learning_rate": 1.999745772086655e-05,
|
| 876 |
+
"loss": 0.7147,
|
| 877 |
+
"step": 142
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 2.43,
|
| 881 |
+
"learning_rate": 1.8876400878140775e-05,
|
| 882 |
+
"loss": 0.6701,
|
| 883 |
+
"step": 143
|
| 884 |
+
},
|
| 885 |
+
{
|
| 886 |
+
"epoch": 2.45,
|
| 887 |
+
"learning_rate": 1.7784398830519e-05,
|
| 888 |
+
"loss": 0.691,
|
| 889 |
+
"step": 144
|
| 890 |
+
},
|
| 891 |
+
{
|
| 892 |
+
"epoch": 2.47,
|
| 893 |
+
"learning_rate": 1.672184268362391e-05,
|
| 894 |
+
"loss": 0.6358,
|
| 895 |
+
"step": 145
|
| 896 |
+
},
|
| 897 |
+
{
|
| 898 |
+
"epoch": 2.49,
|
| 899 |
+
"learning_rate": 1.5689112996891576e-05,
|
| 900 |
+
"loss": 0.5967,
|
| 901 |
+
"step": 146
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 2.5,
|
| 905 |
+
"learning_rate": 1.4686579647272336e-05,
|
| 906 |
+
"loss": 0.6047,
|
| 907 |
+
"step": 147
|
| 908 |
+
},
|
| 909 |
+
{
|
| 910 |
+
"epoch": 2.52,
|
| 911 |
+
"learning_rate": 1.3714601696757712e-05,
|
| 912 |
+
"loss": 0.6241,
|
| 913 |
+
"step": 148
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 2.54,
|
| 917 |
+
"learning_rate": 1.2773527263780626e-05,
|
| 918 |
+
"loss": 0.6553,
|
| 919 |
+
"step": 149
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 2.55,
|
| 923 |
+
"learning_rate": 1.1863693398535114e-05,
|
| 924 |
+
"loss": 0.5639,
|
| 925 |
+
"step": 150
|
| 926 |
+
},
|
| 927 |
+
{
|
| 928 |
+
"epoch": 2.55,
|
| 929 |
+
"eval_loss": 0.8483209609985352,
|
| 930 |
+
"eval_runtime": 0.9949,
|
| 931 |
+
"eval_samples_per_second": 20.102,
|
| 932 |
+
"eval_steps_per_second": 5.025,
|
| 933 |
+
"step": 150
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 2.57,
|
| 937 |
+
"learning_rate": 1.0985425962260343e-05,
|
| 938 |
+
"loss": 0.57,
|
| 939 |
+
"step": 151
|
| 940 |
+
},
|
| 941 |
+
{
|
| 942 |
+
"epoch": 2.59,
|
| 943 |
+
"learning_rate": 1.01390395105318e-05,
|
| 944 |
+
"loss": 0.5924,
|
| 945 |
+
"step": 152
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 2.6,
|
| 949 |
+
"learning_rate": 9.324837180601741e-06,
|
| 950 |
+
"loss": 0.6156,
|
| 951 |
+
"step": 153
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 2.62,
|
| 955 |
+
"learning_rate": 8.543110582829272e-06,
|
| 956 |
+
"loss": 0.5449,
|
| 957 |
+
"step": 154
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 2.64,
|
| 961 |
+
"learning_rate": 7.794139696238645e-06,
|
| 962 |
+
"loss": 0.6187,
|
| 963 |
+
"step": 155
|
| 964 |
+
},
|
| 965 |
+
{
|
| 966 |
+
"epoch": 2.66,
|
| 967 |
+
"learning_rate": 7.078192768243486e-06,
|
| 968 |
+
"loss": 0.5636,
|
| 969 |
+
"step": 156
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 2.67,
|
| 973 |
+
"learning_rate": 6.395526218572723e-06,
|
| 974 |
+
"loss": 0.6078,
|
| 975 |
+
"step": 157
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 2.69,
|
| 979 |
+
"learning_rate": 5.746384547432737e-06,
|
| 980 |
+
"loss": 0.5925,
|
| 981 |
+
"step": 158
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 2.71,
|
| 985 |
+
"learning_rate": 5.131000247938367e-06,
|
| 986 |
+
"loss": 0.5647,
|
| 987 |
+
"step": 159
|
| 988 |
+
},
|
| 989 |
+
{
|
| 990 |
+
"epoch": 2.72,
|
| 991 |
+
"learning_rate": 4.549593722844492e-06,
|
| 992 |
+
"loss": 0.5503,
|
| 993 |
+
"step": 160
|
| 994 |
+
},
|
| 995 |
+
{
|
| 996 |
+
"epoch": 2.74,
|
| 997 |
+
"learning_rate": 4.002373205607723e-06,
|
| 998 |
+
"loss": 0.605,
|
| 999 |
+
"step": 161
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 2.76,
|
| 1003 |
+
"learning_rate": 3.4895346858066724e-06,
|
| 1004 |
+
"loss": 0.6888,
|
| 1005 |
+
"step": 162
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.77,
|
| 1009 |
+
"learning_rate": 3.011261838947277e-06,
|
| 1010 |
+
"loss": 0.668,
|
| 1011 |
+
"step": 163
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 2.79,
|
| 1015 |
+
"learning_rate": 2.5677259606786684e-06,
|
| 1016 |
+
"loss": 0.5715,
|
| 1017 |
+
"step": 164
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 2.81,
|
| 1021 |
+
"learning_rate": 2.159085905442737e-06,
|
| 1022 |
+
"loss": 0.6772,
|
| 1023 |
+
"step": 165
|
| 1024 |
+
},
|
| 1025 |
+
{
|
| 1026 |
+
"epoch": 2.83,
|
| 1027 |
+
"learning_rate": 1.7854880295797405e-06,
|
| 1028 |
+
"loss": 0.5826,
|
| 1029 |
+
"step": 166
|
| 1030 |
+
},
|
| 1031 |
+
{
|
| 1032 |
+
"epoch": 2.84,
|
| 1033 |
+
"learning_rate": 1.4470661389100804e-06,
|
| 1034 |
+
"loss": 0.7116,
|
| 1035 |
+
"step": 167
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 2.86,
|
| 1039 |
+
"learning_rate": 1.143941440811147e-06,
|
| 1040 |
+
"loss": 0.512,
|
| 1041 |
+
"step": 168
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 2.88,
|
| 1045 |
+
"learning_rate": 8.762225008062674e-07,
|
| 1046 |
+
"loss": 0.6045,
|
| 1047 |
+
"step": 169
|
| 1048 |
+
},
|
| 1049 |
+
{
|
| 1050 |
+
"epoch": 2.89,
|
| 1051 |
+
"learning_rate": 6.440052036815081e-07,
|
| 1052 |
+
"loss": 0.5852,
|
| 1053 |
+
"step": 170
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 2.91,
|
| 1057 |
+
"learning_rate": 4.4737271914411236e-07,
|
| 1058 |
+
"loss": 0.5565,
|
| 1059 |
+
"step": 171
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 2.93,
|
| 1063 |
+
"learning_rate": 2.86395472034795e-07,
|
| 1064 |
+
"loss": 0.7202,
|
| 1065 |
+
"step": 172
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 2.94,
|
| 1069 |
+
"learning_rate": 1.611311171048735e-07,
|
| 1070 |
+
"loss": 0.6077,
|
| 1071 |
+
"step": 173
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 2.96,
|
| 1075 |
+
"learning_rate": 7.162451836685291e-08,
|
| 1076 |
+
"loss": 0.5935,
|
| 1077 |
+
"step": 174
|
| 1078 |
+
}
|
| 1079 |
+
],
|
| 1080 |
+
"logging_steps": 1,
|
| 1081 |
+
"max_steps": 174,
|
| 1082 |
+
"num_train_epochs": 3,
|
| 1083 |
+
"save_steps": 500,
|
| 1084 |
+
"total_flos": 7493194676305920.0,
|
| 1085 |
+
"trial_name": null,
|
| 1086 |
+
"trial_params": null
|
| 1087 |
+
}
|
checkpoint-174/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:559e05578fbf1f6e78fc368cebf479663b2065af16b04f27bd99e7e2b2e8f04f
|
| 3 |
+
size 4155
|
checkpoint-58/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0.dev0
|
checkpoint-58/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "openlm-research/open_llama_3b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 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": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-58/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08d8d95a2be0f5363874736804a98386ca5f228eb66423900564477cac9f0882
|
| 3 |
+
size 50982397
|
checkpoint-58/adapter_model/README.md
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
|
| 7 |
+
The following `bitsandbytes` quantization config was used during training:
|
| 8 |
+
- quant_method: bitsandbytes
|
| 9 |
+
- load_in_8bit: True
|
| 10 |
+
- load_in_4bit: False
|
| 11 |
+
- llm_int8_threshold: 6.0
|
| 12 |
+
- llm_int8_skip_modules: None
|
| 13 |
+
- llm_int8_enable_fp32_cpu_offload: False
|
| 14 |
+
- llm_int8_has_fp16_weight: False
|
| 15 |
+
- bnb_4bit_quant_type: fp4
|
| 16 |
+
- bnb_4bit_use_double_quant: False
|
| 17 |
+
- bnb_4bit_compute_dtype: float32
|
| 18 |
+
### Framework versions
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
- PEFT 0.5.0.dev0
|
checkpoint-58/adapter_model/adapter_config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "openlm-research/open_llama_3b",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": null,
|
| 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": 0.0,
|
| 12 |
+
"modules_to_save": null,
|
| 13 |
+
"peft_type": "LORA",
|
| 14 |
+
"r": 8,
|
| 15 |
+
"revision": null,
|
| 16 |
+
"target_modules": [
|
| 17 |
+
"gate_proj",
|
| 18 |
+
"down_proj",
|
| 19 |
+
"up_proj",
|
| 20 |
+
"q_proj",
|
| 21 |
+
"v_proj",
|
| 22 |
+
"k_proj",
|
| 23 |
+
"o_proj"
|
| 24 |
+
],
|
| 25 |
+
"task_type": "CAUSAL_LM"
|
| 26 |
+
}
|
checkpoint-58/adapter_model/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:08d8d95a2be0f5363874736804a98386ca5f228eb66423900564477cac9f0882
|
| 3 |
+
size 50982397
|
checkpoint-58/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:691d6dcb5ae651c580cda18c098a72e195894258965523266c8ca073247ea722
|
| 3 |
+
size 25871055
|
checkpoint-58/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1784c9e20ffdc46b706882695c2108245d7626a328b6d70a37d079ad1fbbc989
|
| 3 |
+
size 14575
|
checkpoint-58/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b8f691665837dc2e76de0eb8d9e5e7aedb01a74e8a8842c8acb9b4a4a0ae6a4f
|
| 3 |
+
size 627
|
checkpoint-58/trainer_state.json
ADDED
|
@@ -0,0 +1,375 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.9872340425531915,
|
| 5 |
+
"eval_steps": 50,
|
| 6 |
+
"global_step": 58,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02,
|
| 13 |
+
"learning_rate": 2e-05,
|
| 14 |
+
"loss": 1.6896,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.03,
|
| 19 |
+
"learning_rate": 4e-05,
|
| 20 |
+
"loss": 1.632,
|
| 21 |
+
"step": 2
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.05,
|
| 25 |
+
"learning_rate": 6e-05,
|
| 26 |
+
"loss": 1.7197,
|
| 27 |
+
"step": 3
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.07,
|
| 31 |
+
"learning_rate": 8e-05,
|
| 32 |
+
"loss": 1.6988,
|
| 33 |
+
"step": 4
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.09,
|
| 37 |
+
"learning_rate": 0.0001,
|
| 38 |
+
"loss": 1.4945,
|
| 39 |
+
"step": 5
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.1,
|
| 43 |
+
"learning_rate": 0.00012,
|
| 44 |
+
"loss": 1.4763,
|
| 45 |
+
"step": 6
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 0.00014,
|
| 50 |
+
"loss": 1.4645,
|
| 51 |
+
"step": 7
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.14,
|
| 55 |
+
"learning_rate": 0.00016,
|
| 56 |
+
"loss": 1.1569,
|
| 57 |
+
"step": 8
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.15,
|
| 61 |
+
"learning_rate": 0.00018,
|
| 62 |
+
"loss": 1.4501,
|
| 63 |
+
"step": 9
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.17,
|
| 67 |
+
"learning_rate": 0.0002,
|
| 68 |
+
"loss": 1.1972,
|
| 69 |
+
"step": 10
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.19,
|
| 73 |
+
"learning_rate": 0.00019998209226697376,
|
| 74 |
+
"loss": 1.1479,
|
| 75 |
+
"step": 11
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 0.00019992837548163316,
|
| 80 |
+
"loss": 1.1791,
|
| 81 |
+
"step": 12
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.22,
|
| 85 |
+
"learning_rate": 0.00019983886888289514,
|
| 86 |
+
"loss": 1.1471,
|
| 87 |
+
"step": 13
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.24,
|
| 91 |
+
"learning_rate": 0.00019971360452796522,
|
| 92 |
+
"loss": 0.9662,
|
| 93 |
+
"step": 14
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.26,
|
| 97 |
+
"learning_rate": 0.0001995526272808559,
|
| 98 |
+
"loss": 1.2166,
|
| 99 |
+
"step": 15
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.27,
|
| 103 |
+
"learning_rate": 0.0001993559947963185,
|
| 104 |
+
"loss": 1.1023,
|
| 105 |
+
"step": 16
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 0.00019912377749919374,
|
| 110 |
+
"loss": 0.9719,
|
| 111 |
+
"step": 17
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.31,
|
| 115 |
+
"learning_rate": 0.00019885605855918885,
|
| 116 |
+
"loss": 0.9122,
|
| 117 |
+
"step": 18
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.32,
|
| 121 |
+
"learning_rate": 0.00019855293386108992,
|
| 122 |
+
"loss": 0.8808,
|
| 123 |
+
"step": 19
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.34,
|
| 127 |
+
"learning_rate": 0.00019821451197042026,
|
| 128 |
+
"loss": 1.0081,
|
| 129 |
+
"step": 20
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.36,
|
| 133 |
+
"learning_rate": 0.00019784091409455728,
|
| 134 |
+
"loss": 1.0147,
|
| 135 |
+
"step": 21
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 0.00019743227403932134,
|
| 140 |
+
"loss": 0.8792,
|
| 141 |
+
"step": 22
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.39,
|
| 145 |
+
"learning_rate": 0.00019698873816105273,
|
| 146 |
+
"loss": 0.8762,
|
| 147 |
+
"step": 23
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.41,
|
| 151 |
+
"learning_rate": 0.00019651046531419332,
|
| 152 |
+
"loss": 0.7916,
|
| 153 |
+
"step": 24
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.43,
|
| 157 |
+
"learning_rate": 0.0001959976267943923,
|
| 158 |
+
"loss": 0.8967,
|
| 159 |
+
"step": 25
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.44,
|
| 163 |
+
"learning_rate": 0.0001954504062771555,
|
| 164 |
+
"loss": 1.0575,
|
| 165 |
+
"step": 26
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.46,
|
| 169 |
+
"learning_rate": 0.00019486899975206166,
|
| 170 |
+
"loss": 0.9374,
|
| 171 |
+
"step": 27
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.48,
|
| 175 |
+
"learning_rate": 0.00019425361545256727,
|
| 176 |
+
"loss": 0.8697,
|
| 177 |
+
"step": 28
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.49,
|
| 181 |
+
"learning_rate": 0.00019360447378142728,
|
| 182 |
+
"loss": 0.788,
|
| 183 |
+
"step": 29
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.51,
|
| 187 |
+
"learning_rate": 0.00019292180723175654,
|
| 188 |
+
"loss": 0.8215,
|
| 189 |
+
"step": 30
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.53,
|
| 193 |
+
"learning_rate": 0.00019220586030376134,
|
| 194 |
+
"loss": 0.8943,
|
| 195 |
+
"step": 31
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.54,
|
| 199 |
+
"learning_rate": 0.00019145688941717075,
|
| 200 |
+
"loss": 0.7825,
|
| 201 |
+
"step": 32
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.56,
|
| 205 |
+
"learning_rate": 0.00019067516281939825,
|
| 206 |
+
"loss": 0.9878,
|
| 207 |
+
"step": 33
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.58,
|
| 211 |
+
"learning_rate": 0.00018986096048946824,
|
| 212 |
+
"loss": 0.8517,
|
| 213 |
+
"step": 34
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.6,
|
| 217 |
+
"learning_rate": 0.00018901457403773967,
|
| 218 |
+
"loss": 0.8132,
|
| 219 |
+
"step": 35
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.61,
|
| 223 |
+
"learning_rate": 0.00018813630660146488,
|
| 224 |
+
"loss": 0.9143,
|
| 225 |
+
"step": 36
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.63,
|
| 229 |
+
"learning_rate": 0.0001872264727362194,
|
| 230 |
+
"loss": 0.8659,
|
| 231 |
+
"step": 37
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.65,
|
| 235 |
+
"learning_rate": 0.00018628539830324229,
|
| 236 |
+
"loss": 0.7977,
|
| 237 |
+
"step": 38
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.66,
|
| 241 |
+
"learning_rate": 0.00018531342035272766,
|
| 242 |
+
"loss": 0.8188,
|
| 243 |
+
"step": 39
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.68,
|
| 247 |
+
"learning_rate": 0.00018431088700310844,
|
| 248 |
+
"loss": 0.871,
|
| 249 |
+
"step": 40
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.7,
|
| 253 |
+
"learning_rate": 0.00018327815731637612,
|
| 254 |
+
"loss": 0.6939,
|
| 255 |
+
"step": 41
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.71,
|
| 259 |
+
"learning_rate": 0.00018221560116948103,
|
| 260 |
+
"loss": 0.8147,
|
| 261 |
+
"step": 42
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.73,
|
| 265 |
+
"learning_rate": 0.00018112359912185924,
|
| 266 |
+
"loss": 0.8898,
|
| 267 |
+
"step": 43
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.75,
|
| 271 |
+
"learning_rate": 0.00018000254227913348,
|
| 272 |
+
"loss": 0.8074,
|
| 273 |
+
"step": 44
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.77,
|
| 277 |
+
"learning_rate": 0.0001788528321530366,
|
| 278 |
+
"loss": 0.8351,
|
| 279 |
+
"step": 45
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.78,
|
| 283 |
+
"learning_rate": 0.00017767488051760857,
|
| 284 |
+
"loss": 0.8811,
|
| 285 |
+
"step": 46
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.8,
|
| 289 |
+
"learning_rate": 0.00017646910926171747,
|
| 290 |
+
"loss": 0.792,
|
| 291 |
+
"step": 47
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.82,
|
| 295 |
+
"learning_rate": 0.00017523595023795813,
|
| 296 |
+
"loss": 0.8558,
|
| 297 |
+
"step": 48
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.83,
|
| 301 |
+
"learning_rate": 0.0001739758451079821,
|
| 302 |
+
"loss": 0.8308,
|
| 303 |
+
"step": 49
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.85,
|
| 307 |
+
"learning_rate": 0.00017268924518431438,
|
| 308 |
+
"loss": 0.8504,
|
| 309 |
+
"step": 50
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 0.85,
|
| 313 |
+
"eval_loss": 0.8740054368972778,
|
| 314 |
+
"eval_runtime": 0.8959,
|
| 315 |
+
"eval_samples_per_second": 22.324,
|
| 316 |
+
"eval_steps_per_second": 5.581,
|
| 317 |
+
"step": 50
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.87,
|
| 321 |
+
"learning_rate": 0.0001713766112687139,
|
| 322 |
+
"loss": 0.83,
|
| 323 |
+
"step": 51
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 0.89,
|
| 327 |
+
"learning_rate": 0.0001700384134871351,
|
| 328 |
+
"loss": 0.7499,
|
| 329 |
+
"step": 52
|
| 330 |
+
},
|
| 331 |
+
{
|
| 332 |
+
"epoch": 0.9,
|
| 333 |
+
"learning_rate": 0.00016867513112135013,
|
| 334 |
+
"loss": 0.8685,
|
| 335 |
+
"step": 53
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.92,
|
| 339 |
+
"learning_rate": 0.0001672872524372919,
|
| 340 |
+
"loss": 0.807,
|
| 341 |
+
"step": 54
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 0.94,
|
| 345 |
+
"learning_rate": 0.00016587527451017938,
|
| 346 |
+
"loss": 0.8627,
|
| 347 |
+
"step": 55
|
| 348 |
+
},
|
| 349 |
+
{
|
| 350 |
+
"epoch": 0.95,
|
| 351 |
+
"learning_rate": 0.0001644397030464877,
|
| 352 |
+
"loss": 0.7606,
|
| 353 |
+
"step": 56
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.97,
|
| 357 |
+
"learning_rate": 0.00016298105220282713,
|
| 358 |
+
"loss": 0.8284,
|
| 359 |
+
"step": 57
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.99,
|
| 363 |
+
"learning_rate": 0.00016149984440179537,
|
| 364 |
+
"loss": 0.8585,
|
| 365 |
+
"step": 58
|
| 366 |
+
}
|
| 367 |
+
],
|
| 368 |
+
"logging_steps": 1,
|
| 369 |
+
"max_steps": 174,
|
| 370 |
+
"num_train_epochs": 3,
|
| 371 |
+
"save_steps": 500,
|
| 372 |
+
"total_flos": 2526774948986880.0,
|
| 373 |
+
"trial_name": null,
|
| 374 |
+
"trial_params": null
|
| 375 |
+
}
|
checkpoint-58/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:559e05578fbf1f6e78fc368cebf479663b2065af16b04f27bd99e7e2b2e8f04f
|
| 3 |
+
size 4155
|
merged/config.json
ADDED
|
@@ -0,0 +1,26 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "openlm-research/open_llama_3b",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"LlamaForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"bos_token_id": 1,
|
| 7 |
+
"eos_token_id": 2,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 3200,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 8640,
|
| 12 |
+
"max_position_embeddings": 2048,
|
| 13 |
+
"model_type": "llama",
|
| 14 |
+
"num_attention_heads": 32,
|
| 15 |
+
"num_hidden_layers": 26,
|
| 16 |
+
"num_key_value_heads": 32,
|
| 17 |
+
"pad_token_id": 0,
|
| 18 |
+
"pretraining_tp": 1,
|
| 19 |
+
"rms_norm_eps": 1e-06,
|
| 20 |
+
"rope_scaling": null,
|
| 21 |
+
"tie_word_embeddings": false,
|
| 22 |
+
"torch_dtype": "float16",
|
| 23 |
+
"transformers_version": "4.32.0.dev0",
|
| 24 |
+
"use_cache": false,
|
| 25 |
+
"vocab_size": 32000
|
| 26 |
+
}
|
merged/generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 1,
|
| 4 |
+
"eos_token_id": 2,
|
| 5 |
+
"pad_token_id": 0,
|
| 6 |
+
"transformers_version": "4.32.0.dev0"
|
| 7 |
+
}
|
merged/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e56879fbda600867b4539a13e2ec8d555c248048096af0ccda294049d65e12c9
|
| 3 |
+
size 6853024617
|
merged/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
merged/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab1b681ec7fc02fed5edd3026687d7a692a918c4dd8e150ca2e3994a6229843b
|
| 3 |
+
size 534194
|
merged/tokenizer_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"bos_token": {
|
| 5 |
+
"__type": "AddedToken",
|
| 6 |
+
"content": "<s>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"clean_up_tokenization_spaces": false,
|
| 13 |
+
"eos_token": {
|
| 14 |
+
"__type": "AddedToken",
|
| 15 |
+
"content": "</s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": true,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false
|
| 20 |
+
},
|
| 21 |
+
"legacy": null,
|
| 22 |
+
"model_max_length": 2048,
|
| 23 |
+
"pad_token": null,
|
| 24 |
+
"sp_model_kwargs": {},
|
| 25 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 26 |
+
"trust_remote_code": false,
|
| 27 |
+
"unk_token": {
|
| 28 |
+
"__type": "AddedToken",
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false
|
| 34 |
+
},
|
| 35 |
+
"use_fast": true
|
| 36 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ab1b681ec7fc02fed5edd3026687d7a692a918c4dd8e150ca2e3994a6229843b
|
| 3 |
+
size 534194
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"bos_token": {
|
| 5 |
+
"__type": "AddedToken",
|
| 6 |
+
"content": "<s>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": true,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false
|
| 11 |
+
},
|
| 12 |
+
"clean_up_tokenization_spaces": false,
|
| 13 |
+
"eos_token": {
|
| 14 |
+
"__type": "AddedToken",
|
| 15 |
+
"content": "</s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": true,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false
|
| 20 |
+
},
|
| 21 |
+
"legacy": null,
|
| 22 |
+
"model_max_length": 2048,
|
| 23 |
+
"pad_token": null,
|
| 24 |
+
"sp_model_kwargs": {},
|
| 25 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 26 |
+
"trust_remote_code": false,
|
| 27 |
+
"unk_token": {
|
| 28 |
+
"__type": "AddedToken",
|
| 29 |
+
"content": "<unk>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": true,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false
|
| 34 |
+
},
|
| 35 |
+
"use_fast": true
|
| 36 |
+
}
|