Instructions to use FroxStudio/Flex-Model-LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FroxStudio/Flex-Model-LoRA with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-1.5B-Instruct") model = PeftModel.from_pretrained(base_model, "FroxStudio/Flex-Model-LoRA") - Transformers
How to use FroxStudio/Flex-Model-LoRA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="FroxStudio/Flex-Model-LoRA") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FroxStudio/Flex-Model-LoRA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use FroxStudio/Flex-Model-LoRA with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "FroxStudio/Flex-Model-LoRA" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FroxStudio/Flex-Model-LoRA", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/FroxStudio/Flex-Model-LoRA
- SGLang
How to use FroxStudio/Flex-Model-LoRA with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "FroxStudio/Flex-Model-LoRA" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FroxStudio/Flex-Model-LoRA", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "FroxStudio/Flex-Model-LoRA" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "FroxStudio/Flex-Model-LoRA", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use FroxStudio/Flex-Model-LoRA with Docker Model Runner:
docker model run hf.co/FroxStudio/Flex-Model-LoRA
Upload folder using huggingface_hub
Browse files- checkpoint-2825/README.md +207 -0
- checkpoint-2825/adapter_config.json +51 -0
- checkpoint-2825/adapter_model.safetensors +3 -0
- checkpoint-2825/chat_template.jinja +54 -0
- checkpoint-2825/optimizer.pt +3 -0
- checkpoint-2825/rng_state.pth +3 -0
- checkpoint-2825/scaler.pt +3 -0
- checkpoint-2825/scheduler.pt +3 -0
- checkpoint-2825/tokenizer.json +3 -0
- checkpoint-2825/tokenizer_config.json +30 -0
- checkpoint-2825/trainer_state.json +2008 -0
- checkpoint-2825/training_args.bin +3 -0
checkpoint-2825/README.md
ADDED
|
@@ -0,0 +1,207 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen2.5-1.5B-Instruct
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:Qwen/Qwen2.5-1.5B-Instruct
|
| 7 |
+
- lora
|
| 8 |
+
- transformers
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
# Model Card for Model ID
|
| 12 |
+
|
| 13 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
|
| 17 |
+
## Model Details
|
| 18 |
+
|
| 19 |
+
### Model Description
|
| 20 |
+
|
| 21 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
- **Developed by:** [More Information Needed]
|
| 26 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 27 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 28 |
+
- **Model type:** [More Information Needed]
|
| 29 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 30 |
+
- **License:** [More Information Needed]
|
| 31 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 32 |
+
|
| 33 |
+
### Model Sources [optional]
|
| 34 |
+
|
| 35 |
+
<!-- Provide the basic links for the model. -->
|
| 36 |
+
|
| 37 |
+
- **Repository:** [More Information Needed]
|
| 38 |
+
- **Paper [optional]:** [More Information Needed]
|
| 39 |
+
- **Demo [optional]:** [More Information Needed]
|
| 40 |
+
|
| 41 |
+
## Uses
|
| 42 |
+
|
| 43 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 44 |
+
|
| 45 |
+
### Direct Use
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Downstream Use [optional]
|
| 52 |
+
|
| 53 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
### Out-of-Scope Use
|
| 58 |
+
|
| 59 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
## Bias, Risks, and Limitations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 66 |
+
|
| 67 |
+
[More Information Needed]
|
| 68 |
+
|
| 69 |
+
### Recommendations
|
| 70 |
+
|
| 71 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 72 |
+
|
| 73 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 74 |
+
|
| 75 |
+
## How to Get Started with the Model
|
| 76 |
+
|
| 77 |
+
Use the code below to get started with the model.
|
| 78 |
+
|
| 79 |
+
[More Information Needed]
|
| 80 |
+
|
| 81 |
+
## Training Details
|
| 82 |
+
|
| 83 |
+
### Training Data
|
| 84 |
+
|
| 85 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 86 |
+
|
| 87 |
+
[More Information Needed]
|
| 88 |
+
|
| 89 |
+
### Training Procedure
|
| 90 |
+
|
| 91 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 92 |
+
|
| 93 |
+
#### Preprocessing [optional]
|
| 94 |
+
|
| 95 |
+
[More Information Needed]
|
| 96 |
+
|
| 97 |
+
|
| 98 |
+
#### Training Hyperparameters
|
| 99 |
+
|
| 100 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 101 |
+
|
| 102 |
+
#### Speeds, Sizes, Times [optional]
|
| 103 |
+
|
| 104 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 105 |
+
|
| 106 |
+
[More Information Needed]
|
| 107 |
+
|
| 108 |
+
## Evaluation
|
| 109 |
+
|
| 110 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 111 |
+
|
| 112 |
+
### Testing Data, Factors & Metrics
|
| 113 |
+
|
| 114 |
+
#### Testing Data
|
| 115 |
+
|
| 116 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Factors
|
| 121 |
+
|
| 122 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
#### Metrics
|
| 127 |
+
|
| 128 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 129 |
+
|
| 130 |
+
[More Information Needed]
|
| 131 |
+
|
| 132 |
+
### Results
|
| 133 |
+
|
| 134 |
+
[More Information Needed]
|
| 135 |
+
|
| 136 |
+
#### Summary
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
|
| 140 |
+
## Model Examination [optional]
|
| 141 |
+
|
| 142 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 143 |
+
|
| 144 |
+
[More Information Needed]
|
| 145 |
+
|
| 146 |
+
## Environmental Impact
|
| 147 |
+
|
| 148 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 149 |
+
|
| 150 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 151 |
+
|
| 152 |
+
- **Hardware Type:** [More Information Needed]
|
| 153 |
+
- **Hours used:** [More Information Needed]
|
| 154 |
+
- **Cloud Provider:** [More Information Needed]
|
| 155 |
+
- **Compute Region:** [More Information Needed]
|
| 156 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 157 |
+
|
| 158 |
+
## Technical Specifications [optional]
|
| 159 |
+
|
| 160 |
+
### Model Architecture and Objective
|
| 161 |
+
|
| 162 |
+
[More Information Needed]
|
| 163 |
+
|
| 164 |
+
### Compute Infrastructure
|
| 165 |
+
|
| 166 |
+
[More Information Needed]
|
| 167 |
+
|
| 168 |
+
#### Hardware
|
| 169 |
+
|
| 170 |
+
[More Information Needed]
|
| 171 |
+
|
| 172 |
+
#### Software
|
| 173 |
+
|
| 174 |
+
[More Information Needed]
|
| 175 |
+
|
| 176 |
+
## Citation [optional]
|
| 177 |
+
|
| 178 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 179 |
+
|
| 180 |
+
**BibTeX:**
|
| 181 |
+
|
| 182 |
+
[More Information Needed]
|
| 183 |
+
|
| 184 |
+
**APA:**
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## Glossary [optional]
|
| 189 |
+
|
| 190 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 191 |
+
|
| 192 |
+
[More Information Needed]
|
| 193 |
+
|
| 194 |
+
## More Information [optional]
|
| 195 |
+
|
| 196 |
+
[More Information Needed]
|
| 197 |
+
|
| 198 |
+
## Model Card Authors [optional]
|
| 199 |
+
|
| 200 |
+
[More Information Needed]
|
| 201 |
+
|
| 202 |
+
## Model Card Contact
|
| 203 |
+
|
| 204 |
+
[More Information Needed]
|
| 205 |
+
### Framework versions
|
| 206 |
+
|
| 207 |
+
- PEFT 0.21.2
|
checkpoint-2825/adapter_config.json
ADDED
|
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"kasa_config": null,
|
| 16 |
+
"layer_replication": null,
|
| 17 |
+
"layers_pattern": null,
|
| 18 |
+
"layers_to_transform": null,
|
| 19 |
+
"loftq_config": {},
|
| 20 |
+
"lora_alpha": 32,
|
| 21 |
+
"lora_bias": false,
|
| 22 |
+
"lora_dropout": 0.05,
|
| 23 |
+
"lora_ga_config": null,
|
| 24 |
+
"megatron_config": null,
|
| 25 |
+
"megatron_core": "megatron.core",
|
| 26 |
+
"modules_to_save": null,
|
| 27 |
+
"monteclora_config": null,
|
| 28 |
+
"peft_type": "LORA",
|
| 29 |
+
"peft_version": "0.20.0",
|
| 30 |
+
"qalora_group_size": 16,
|
| 31 |
+
"r": 16,
|
| 32 |
+
"rank_pattern": {},
|
| 33 |
+
"revision": null,
|
| 34 |
+
"target_modules": [
|
| 35 |
+
"up_proj",
|
| 36 |
+
"o_proj",
|
| 37 |
+
"gate_proj",
|
| 38 |
+
"k_proj",
|
| 39 |
+
"down_proj",
|
| 40 |
+
"v_proj",
|
| 41 |
+
"q_proj"
|
| 42 |
+
],
|
| 43 |
+
"target_parameters": null,
|
| 44 |
+
"task_type": "CAUSAL_LM",
|
| 45 |
+
"trainable_token_indices": null,
|
| 46 |
+
"use_bdlora": null,
|
| 47 |
+
"use_dora": false,
|
| 48 |
+
"use_qalora": false,
|
| 49 |
+
"use_rslora": false,
|
| 50 |
+
"velora_config": null
|
| 51 |
+
}
|
checkpoint-2825/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7672d42c0d9df786973e12af2580c4cc400ceb9557e600fe62f83b127b01dca3
|
| 3 |
+
size 73911112
|
checkpoint-2825/chat_template.jinja
ADDED
|
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 4 |
+
{{- messages[0]['content'] }}
|
| 5 |
+
{%- else %}
|
| 6 |
+
{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
|
| 7 |
+
{%- endif %}
|
| 8 |
+
{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 9 |
+
{%- for tool in tools %}
|
| 10 |
+
{{- "\n" }}
|
| 11 |
+
{{- tool | tojson }}
|
| 12 |
+
{%- endfor %}
|
| 13 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 14 |
+
{%- else %}
|
| 15 |
+
{%- if messages[0]['role'] == 'system' %}
|
| 16 |
+
{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
|
| 17 |
+
{%- else %}
|
| 18 |
+
{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- endif %}
|
| 21 |
+
{%- for message in messages %}
|
| 22 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
|
| 23 |
+
{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
|
| 24 |
+
{%- elif message.role == "assistant" %}
|
| 25 |
+
{{- '<|im_start|>' + message.role }}
|
| 26 |
+
{%- if message.content %}
|
| 27 |
+
{{- '\n' + message.content }}
|
| 28 |
+
{%- endif %}
|
| 29 |
+
{%- for tool_call in message.tool_calls %}
|
| 30 |
+
{%- if tool_call.function is defined %}
|
| 31 |
+
{%- set tool_call = tool_call.function %}
|
| 32 |
+
{%- endif %}
|
| 33 |
+
{{- '\n<tool_call>\n{"name": "' }}
|
| 34 |
+
{{- tool_call.name }}
|
| 35 |
+
{{- '", "arguments": ' }}
|
| 36 |
+
{{- tool_call.arguments | tojson }}
|
| 37 |
+
{{- '}\n</tool_call>' }}
|
| 38 |
+
{%- endfor %}
|
| 39 |
+
{{- '<|im_end|>\n' }}
|
| 40 |
+
{%- elif message.role == "tool" %}
|
| 41 |
+
{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
|
| 42 |
+
{{- '<|im_start|>user' }}
|
| 43 |
+
{%- endif %}
|
| 44 |
+
{{- '\n<tool_response>\n' }}
|
| 45 |
+
{{- message.content }}
|
| 46 |
+
{{- '\n</tool_response>' }}
|
| 47 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
|
checkpoint-2825/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8313e511964f50d1ff52463e910b162d3273e135000f12b8980e6d4db60230b4
|
| 3 |
+
size 148048187
|
checkpoint-2825/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8b9dea9ba828f869bb6991322825ebb518a24ff3a366b61505e9b05341a772c6
|
| 3 |
+
size 14645
|
checkpoint-2825/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0c043d7c209cea5b0f0b6d08b529a17270bfa57c8bdac6534d63620b277539a7
|
| 3 |
+
size 1383
|
checkpoint-2825/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8351b204562684fbf293d306684c15724c08306f2168c6dac5de90339fa1ce2f
|
| 3 |
+
size 1465
|
checkpoint-2825/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2f55e63353d3d978b390d346bae531be8b83bc9532c0be500d62b7253aa4c595
|
| 3 |
+
size 11421991
|
checkpoint-2825/tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"local_files_only": false,
|
| 25 |
+
"model_max_length": 131072,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
+
"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
+
"unk_token": null
|
| 30 |
+
}
|
checkpoint-2825/trainer_state.json
ADDED
|
@@ -0,0 +1,2008 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0819727076849412,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 2825,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.008119354511316351,
|
| 14 |
+
"grad_norm": 1.192345380783081,
|
| 15 |
+
"learning_rate": 2.7272727272727273e-05,
|
| 16 |
+
"loss": 1.3216888427734375,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.016238709022632702,
|
| 21 |
+
"grad_norm": 1.2548257112503052,
|
| 22 |
+
"learning_rate": 5.757575757575758e-05,
|
| 23 |
+
"loss": 1.0566269874572753,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.02435806353394905,
|
| 28 |
+
"grad_norm": 0.30806204676628113,
|
| 29 |
+
"learning_rate": 8.787878787878789e-05,
|
| 30 |
+
"loss": 0.6396953582763671,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.032477418045265403,
|
| 35 |
+
"grad_norm": 0.25909167528152466,
|
| 36 |
+
"learning_rate": 0.0001181818181818182,
|
| 37 |
+
"loss": 0.5402174472808838,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.04059677255658175,
|
| 42 |
+
"grad_norm": 0.21031738817691803,
|
| 43 |
+
"learning_rate": 0.00014848484848484849,
|
| 44 |
+
"loss": 0.5005859375,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.0487161270678981,
|
| 49 |
+
"grad_norm": 0.18716108798980713,
|
| 50 |
+
"learning_rate": 0.0001787878787878788,
|
| 51 |
+
"loss": 0.537840461730957,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.056835481579214454,
|
| 56 |
+
"grad_norm": 0.1792488396167755,
|
| 57 |
+
"learning_rate": 0.0001999990247348105,
|
| 58 |
+
"loss": 0.4450899600982666,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.06495483609053081,
|
| 63 |
+
"grad_norm": 0.21492543816566467,
|
| 64 |
+
"learning_rate": 0.00019998168721618701,
|
| 65 |
+
"loss": 0.4202279090881348,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.07307419060184715,
|
| 70 |
+
"grad_norm": 0.16661711037158966,
|
| 71 |
+
"learning_rate": 0.00019994268146276777,
|
| 72 |
+
"loss": 0.4485616207122803,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.0811935451131635,
|
| 77 |
+
"grad_norm": 0.24056391417980194,
|
| 78 |
+
"learning_rate": 0.0001998820159279591,
|
| 79 |
+
"loss": 0.44878439903259276,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.08931289962447986,
|
| 84 |
+
"grad_norm": 0.20612840354442596,
|
| 85 |
+
"learning_rate": 0.00019979970375931912,
|
| 86 |
+
"loss": 0.4974456787109375,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.0974322541357962,
|
| 91 |
+
"grad_norm": 0.17296524345874786,
|
| 92 |
+
"learning_rate": 0.00019969576279570866,
|
| 93 |
+
"loss": 0.4231257438659668,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.10555160864711255,
|
| 98 |
+
"grad_norm": 0.20717096328735352,
|
| 99 |
+
"learning_rate": 0.00019957021556342495,
|
| 100 |
+
"loss": 0.4275392532348633,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.11367096315842891,
|
| 105 |
+
"grad_norm": 0.20023062825202942,
|
| 106 |
+
"learning_rate": 0.00019942308927131972,
|
| 107 |
+
"loss": 0.41733384132385254,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.12179031766974525,
|
| 112 |
+
"grad_norm": 0.17242860794067383,
|
| 113 |
+
"learning_rate": 0.00019925441580490255,
|
| 114 |
+
"loss": 0.41766815185546874,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.12990967218106161,
|
| 119 |
+
"grad_norm": 0.17718906700611115,
|
| 120 |
+
"learning_rate": 0.00019906423171943047,
|
| 121 |
+
"loss": 0.43944649696350097,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.13802902669237796,
|
| 126 |
+
"grad_norm": 0.1699272096157074,
|
| 127 |
+
"learning_rate": 0.0001988525782319856,
|
| 128 |
+
"loss": 0.4246710777282715,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.1461483812036943,
|
| 133 |
+
"grad_norm": 0.18154670298099518,
|
| 134 |
+
"learning_rate": 0.00019861950121254275,
|
| 135 |
+
"loss": 0.40392107963562013,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.15426773571501065,
|
| 140 |
+
"grad_norm": 0.18973930180072784,
|
| 141 |
+
"learning_rate": 0.00019836505117402792,
|
| 142 |
+
"loss": 0.4155430316925049,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.162387090226327,
|
| 147 |
+
"grad_norm": 0.15529297292232513,
|
| 148 |
+
"learning_rate": 0.00019808928326137156,
|
| 149 |
+
"loss": 0.430379581451416,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.17050644473764337,
|
| 154 |
+
"grad_norm": 0.20729880034923553,
|
| 155 |
+
"learning_rate": 0.00019779225723955707,
|
| 156 |
+
"loss": 0.42681236267089845,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.17862579924895972,
|
| 161 |
+
"grad_norm": 0.17007844150066376,
|
| 162 |
+
"learning_rate": 0.0001974740374806686,
|
| 163 |
+
"loss": 0.3926879644393921,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.18674515376027606,
|
| 168 |
+
"grad_norm": 0.1643807291984558,
|
| 169 |
+
"learning_rate": 0.00019713469294994012,
|
| 170 |
+
"loss": 0.41318230628967284,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.1948645082715924,
|
| 175 |
+
"grad_norm": 0.1504553258419037,
|
| 176 |
+
"learning_rate": 0.00019677429719080916,
|
| 177 |
+
"loss": 0.443330192565918,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.20298386278290875,
|
| 182 |
+
"grad_norm": 0.17451228201389313,
|
| 183 |
+
"learning_rate": 0.00019639292830897837,
|
| 184 |
+
"loss": 0.4365452766418457,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.2111032172942251,
|
| 189 |
+
"grad_norm": 0.16454367339611053,
|
| 190 |
+
"learning_rate": 0.0001959906689554881,
|
| 191 |
+
"loss": 0.45282588005065916,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.21922257180554147,
|
| 196 |
+
"grad_norm": 0.15446598827838898,
|
| 197 |
+
"learning_rate": 0.0001955676063088045,
|
| 198 |
+
"loss": 0.46193952560424806,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.22734192631685782,
|
| 203 |
+
"grad_norm": 0.17489995062351227,
|
| 204 |
+
"learning_rate": 0.00019512383205592552,
|
| 205 |
+
"loss": 0.46073436737060547,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.23546128082817416,
|
| 210 |
+
"grad_norm": 0.1772591769695282,
|
| 211 |
+
"learning_rate": 0.00019465944237251071,
|
| 212 |
+
"loss": 0.38799960613250734,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.2435806353394905,
|
| 217 |
+
"grad_norm": 0.11530005931854248,
|
| 218 |
+
"learning_rate": 0.00019417453790203772,
|
| 219 |
+
"loss": 0.4481969833374023,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.2516999898508069,
|
| 224 |
+
"grad_norm": 0.1683167964220047,
|
| 225 |
+
"learning_rate": 0.0001936692237339905,
|
| 226 |
+
"loss": 0.41562438011169434,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.25981934436212323,
|
| 231 |
+
"grad_norm": 0.16425232589244843,
|
| 232 |
+
"learning_rate": 0.00019314360938108425,
|
| 233 |
+
"loss": 0.40752553939819336,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.2679386988734396,
|
| 238 |
+
"grad_norm": 0.16231301426887512,
|
| 239 |
+
"learning_rate": 0.0001925978087555316,
|
| 240 |
+
"loss": 0.3947896480560303,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.2760580533847559,
|
| 245 |
+
"grad_norm": 0.17653369903564453,
|
| 246 |
+
"learning_rate": 0.00019203194014435525,
|
| 247 |
+
"loss": 0.4535045146942139,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.28417740789607226,
|
| 252 |
+
"grad_norm": 0.15756867825984955,
|
| 253 |
+
"learning_rate": 0.0001914461261837526,
|
| 254 |
+
"loss": 0.4795684814453125,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.2922967624073886,
|
| 259 |
+
"grad_norm": 0.1505475640296936,
|
| 260 |
+
"learning_rate": 0.00019084049383251783,
|
| 261 |
+
"loss": 0.4024923324584961,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.30041611691870496,
|
| 266 |
+
"grad_norm": 0.16846773028373718,
|
| 267 |
+
"learning_rate": 0.00019021517434452702,
|
| 268 |
+
"loss": 0.42346930503845215,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.3085354714300213,
|
| 273 |
+
"grad_norm": 0.17196664214134216,
|
| 274 |
+
"learning_rate": 0.0001895703032402926,
|
| 275 |
+
"loss": 0.38081505298614504,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.31665482594133765,
|
| 280 |
+
"grad_norm": 0.18256904184818268,
|
| 281 |
+
"learning_rate": 0.00018890602027759313,
|
| 282 |
+
"loss": 0.37936599254608155,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.324774180452654,
|
| 287 |
+
"grad_norm": 0.1385713666677475,
|
| 288 |
+
"learning_rate": 0.00018822246942118466,
|
| 289 |
+
"loss": 0.3991415977478027,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.33289353496397034,
|
| 294 |
+
"grad_norm": 0.15789403021335602,
|
| 295 |
+
"learning_rate": 0.00018751979881160029,
|
| 296 |
+
"loss": 0.40332279205322263,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.34101288947528674,
|
| 301 |
+
"grad_norm": 0.15686365962028503,
|
| 302 |
+
"learning_rate": 0.0001867981607330451,
|
| 303 |
+
"loss": 0.3878762722015381,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.3491322439866031,
|
| 308 |
+
"grad_norm": 0.15789690613746643,
|
| 309 |
+
"learning_rate": 0.00018605771158039253,
|
| 310 |
+
"loss": 0.3754732131958008,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.35725159849791943,
|
| 315 |
+
"grad_norm": 0.14583982527256012,
|
| 316 |
+
"learning_rate": 0.00018529861182529036,
|
| 317 |
+
"loss": 0.4119413375854492,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.3653709530092358,
|
| 322 |
+
"grad_norm": 0.16271716356277466,
|
| 323 |
+
"learning_rate": 0.0001845210259813829,
|
| 324 |
+
"loss": 0.4371773719787598,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.3734903075205521,
|
| 329 |
+
"grad_norm": 0.15252803266048431,
|
| 330 |
+
"learning_rate": 0.00018372512256865724,
|
| 331 |
+
"loss": 0.3985795021057129,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.38160966203186847,
|
| 336 |
+
"grad_norm": 0.17694011330604553,
|
| 337 |
+
"learning_rate": 0.00018291107407692128,
|
| 338 |
+
"loss": 0.40482492446899415,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.3897290165431848,
|
| 343 |
+
"grad_norm": 0.15677419304847717,
|
| 344 |
+
"learning_rate": 0.00018207905692842134,
|
| 345 |
+
"loss": 0.3925381898880005,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.39784837105450116,
|
| 350 |
+
"grad_norm": 0.15828488767147064,
|
| 351 |
+
"learning_rate": 0.00018122925143960775,
|
| 352 |
+
"loss": 0.3869333028793335,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.4059677255658175,
|
| 357 |
+
"grad_norm": 0.13660173118114471,
|
| 358 |
+
"learning_rate": 0.000180361841782056,
|
| 359 |
+
"loss": 0.4138071060180664,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.41408708007713385,
|
| 364 |
+
"grad_norm": 0.164328932762146,
|
| 365 |
+
"learning_rate": 0.00017947701594255299,
|
| 366 |
+
"loss": 0.4766359806060791,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.4222064345884502,
|
| 371 |
+
"grad_norm": 0.13619564473628998,
|
| 372 |
+
"learning_rate": 0.00017857496568235597,
|
| 373 |
+
"loss": 0.3740208625793457,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.43032578909976654,
|
| 378 |
+
"grad_norm": 0.1389133632183075,
|
| 379 |
+
"learning_rate": 0.00017765588649563372,
|
| 380 |
+
"loss": 0.4194491386413574,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.43844514361108294,
|
| 385 |
+
"grad_norm": 0.16105148196220398,
|
| 386 |
+
"learning_rate": 0.00017671997756709863,
|
| 387 |
+
"loss": 0.37844417095184324,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.4465644981223993,
|
| 392 |
+
"grad_norm": 0.1176551878452301,
|
| 393 |
+
"learning_rate": 0.00017576744172883899,
|
| 394 |
+
"loss": 0.3884027719497681,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.45468385263371563,
|
| 399 |
+
"grad_norm": 0.15062262117862701,
|
| 400 |
+
"learning_rate": 0.0001747984854163609,
|
| 401 |
+
"loss": 0.4128002643585205,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.462803207145032,
|
| 406 |
+
"grad_norm": 0.14474593102931976,
|
| 407 |
+
"learning_rate": 0.00017381331862384894,
|
| 408 |
+
"loss": 0.37835040092468264,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.4709225616563483,
|
| 413 |
+
"grad_norm": 0.11984218657016754,
|
| 414 |
+
"learning_rate": 0.00017281215485865603,
|
| 415 |
+
"loss": 0.3885404109954834,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.47904191616766467,
|
| 420 |
+
"grad_norm": 0.11157386004924774,
|
| 421 |
+
"learning_rate": 0.00017179521109503146,
|
| 422 |
+
"loss": 0.41469721794128417,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.487161270678981,
|
| 427 |
+
"grad_norm": 0.15861837565898895,
|
| 428 |
+
"learning_rate": 0.00017076270772709807,
|
| 429 |
+
"loss": 0.40916032791137696,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.49528062519029736,
|
| 434 |
+
"grad_norm": 0.16919773817062378,
|
| 435 |
+
"learning_rate": 0.00016971486852108763,
|
| 436 |
+
"loss": 0.38907546997070314,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.5033999797016138,
|
| 441 |
+
"grad_norm": 0.1534120887517929,
|
| 442 |
+
"learning_rate": 0.00016865192056684605,
|
| 443 |
+
"loss": 0.3835587978363037,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.51151933421293,
|
| 448 |
+
"grad_norm": 0.1444127857685089,
|
| 449 |
+
"learning_rate": 0.00016757409422861802,
|
| 450 |
+
"loss": 0.41408615112304686,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.5196386887242465,
|
| 455 |
+
"grad_norm": 0.16517969965934753,
|
| 456 |
+
"learning_rate": 0.00016648162309512173,
|
| 457 |
+
"loss": 0.3881347179412842,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.5277580432355627,
|
| 462 |
+
"grad_norm": 0.16764643788337708,
|
| 463 |
+
"learning_rate": 0.00016537474392892528,
|
| 464 |
+
"loss": 0.36968770027160647,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.5358773977468791,
|
| 469 |
+
"grad_norm": 0.15984776616096497,
|
| 470 |
+
"learning_rate": 0.0001642536966151349,
|
| 471 |
+
"loss": 0.4436800003051758,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.5439967522581954,
|
| 476 |
+
"grad_norm": 0.15119516849517822,
|
| 477 |
+
"learning_rate": 0.00016311872410940676,
|
| 478 |
+
"loss": 0.36648738384246826,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.5521161067695118,
|
| 483 |
+
"grad_norm": 0.17760701477527618,
|
| 484 |
+
"learning_rate": 0.00016197007238529277,
|
| 485 |
+
"loss": 0.43828520774841306,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.5602354612808281,
|
| 490 |
+
"grad_norm": 0.15702351927757263,
|
| 491 |
+
"learning_rate": 0.00016080799038093311,
|
| 492 |
+
"loss": 0.39908370971679685,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.5683548157921445,
|
| 497 |
+
"grad_norm": 0.16063162684440613,
|
| 498 |
+
"learning_rate": 0.0001596327299451054,
|
| 499 |
+
"loss": 0.3547415256500244,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.5764741703034608,
|
| 504 |
+
"grad_norm": 0.15705077350139618,
|
| 505 |
+
"learning_rate": 0.000158444545782644,
|
| 506 |
+
"loss": 0.38064041137695315,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.5845935248147772,
|
| 511 |
+
"grad_norm": 0.2802039086818695,
|
| 512 |
+
"learning_rate": 0.0001572436953992394,
|
| 513 |
+
"loss": 0.34356114864349363,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.5927128793260936,
|
| 518 |
+
"grad_norm": 0.14802053570747375,
|
| 519 |
+
"learning_rate": 0.00015603043904563148,
|
| 520 |
+
"loss": 0.44878721237182617,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.6008322338374099,
|
| 525 |
+
"grad_norm": 0.15852048993110657,
|
| 526 |
+
"learning_rate": 0.00015480503966120704,
|
| 527 |
+
"loss": 0.40053658485412597,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.6089515883487263,
|
| 532 |
+
"grad_norm": 0.15426747500896454,
|
| 533 |
+
"learning_rate": 0.00015356776281701538,
|
| 534 |
+
"loss": 0.404225492477417,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.6170709428600426,
|
| 539 |
+
"grad_norm": 0.1420115828514099,
|
| 540 |
+
"learning_rate": 0.000152318876658213,
|
| 541 |
+
"loss": 0.37903261184692383,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.625190297371359,
|
| 546 |
+
"grad_norm": 0.13923387229442596,
|
| 547 |
+
"learning_rate": 0.00015105865184595073,
|
| 548 |
+
"loss": 0.35583546161651614,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.6333096518826753,
|
| 553 |
+
"grad_norm": 0.14876466989517212,
|
| 554 |
+
"learning_rate": 0.00014978736149871545,
|
| 555 |
+
"loss": 0.3251772165298462,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.6414290063939917,
|
| 560 |
+
"grad_norm": 0.17565123736858368,
|
| 561 |
+
"learning_rate": 0.0001485052811331393,
|
| 562 |
+
"loss": 0.39765985012054444,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.649548360905308,
|
| 567 |
+
"grad_norm": 0.15443134307861328,
|
| 568 |
+
"learning_rate": 0.00014721268860428912,
|
| 569 |
+
"loss": 0.3529685020446777,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.6576677154166244,
|
| 574 |
+
"grad_norm": 0.15266218781471252,
|
| 575 |
+
"learning_rate": 0.00014590986404544923,
|
| 576 |
+
"loss": 0.4115382194519043,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.6657870699279407,
|
| 581 |
+
"grad_norm": 0.14183001220226288,
|
| 582 |
+
"learning_rate": 0.00014459708980741037,
|
| 583 |
+
"loss": 0.4038706302642822,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.6739064244392571,
|
| 588 |
+
"grad_norm": 0.20107750594615936,
|
| 589 |
+
"learning_rate": 0.00014327465039727785,
|
| 590 |
+
"loss": 0.42904024124145507,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.6820257789505735,
|
| 595 |
+
"grad_norm": 0.15056397020816803,
|
| 596 |
+
"learning_rate": 0.00014194283241681293,
|
| 597 |
+
"loss": 0.3807892084121704,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.6901451334618898,
|
| 602 |
+
"grad_norm": 0.16432157158851624,
|
| 603 |
+
"learning_rate": 0.00014060192450031958,
|
| 604 |
+
"loss": 0.40647153854370116,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.6982644879732062,
|
| 609 |
+
"grad_norm": 0.14384903013706207,
|
| 610 |
+
"learning_rate": 0.0001392522172520913,
|
| 611 |
+
"loss": 0.400847864151001,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.7063838424845225,
|
| 616 |
+
"grad_norm": 0.16257992386817932,
|
| 617 |
+
"learning_rate": 0.00013789400318343068,
|
| 618 |
+
"loss": 0.4034707069396973,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.7145031969958389,
|
| 623 |
+
"grad_norm": 0.1456725299358368,
|
| 624 |
+
"learning_rate": 0.00013652757664925572,
|
| 625 |
+
"loss": 0.3958974123001099,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.7226225515071552,
|
| 630 |
+
"grad_norm": 0.1645933985710144,
|
| 631 |
+
"learning_rate": 0.00013515323378430664,
|
| 632 |
+
"loss": 0.39889843463897706,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.7307419060184716,
|
| 637 |
+
"grad_norm": 0.14808154106140137,
|
| 638 |
+
"learning_rate": 0.00013377127243896706,
|
| 639 |
+
"loss": 0.39709608554840087,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.7388612605297878,
|
| 644 |
+
"grad_norm": 0.15682613849639893,
|
| 645 |
+
"learning_rate": 0.00013238199211471305,
|
| 646 |
+
"loss": 0.3838841199874878,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.7469806150411042,
|
| 651 |
+
"grad_norm": 0.15188175439834595,
|
| 652 |
+
"learning_rate": 0.00013098569389920488,
|
| 653 |
+
"loss": 0.4285408973693848,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.7550999695524205,
|
| 658 |
+
"grad_norm": 0.16449961066246033,
|
| 659 |
+
"learning_rate": 0.00012958268040103434,
|
| 660 |
+
"loss": 0.37526252269744875,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.7632193240637369,
|
| 665 |
+
"grad_norm": 0.1517837643623352,
|
| 666 |
+
"learning_rate": 0.00012817325568414297,
|
| 667 |
+
"loss": 0.40034284591674807,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.7713386785750533,
|
| 672 |
+
"grad_norm": 0.18229644000530243,
|
| 673 |
+
"learning_rate": 0.00012675772520192476,
|
| 674 |
+
"loss": 0.37904250621795654,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.7794580330863696,
|
| 679 |
+
"grad_norm": 0.15189775824546814,
|
| 680 |
+
"learning_rate": 0.00012533639573102754,
|
| 681 |
+
"loss": 0.4246711254119873,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.787577387597686,
|
| 686 |
+
"grad_norm": 0.15175221860408783,
|
| 687 |
+
"learning_rate": 0.0001239095753048678,
|
| 688 |
+
"loss": 0.3818449735641479,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.7956967421090023,
|
| 693 |
+
"grad_norm": 0.14126037061214447,
|
| 694 |
+
"learning_rate": 0.00012247757314687297,
|
| 695 |
+
"loss": 0.3847095251083374,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.8038160966203187,
|
| 700 |
+
"grad_norm": 0.17514625191688538,
|
| 701 |
+
"learning_rate": 0.00012104069960346596,
|
| 702 |
+
"loss": 0.40877785682678225,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.811935451131635,
|
| 707 |
+
"grad_norm": 0.1650720089673996,
|
| 708 |
+
"learning_rate": 0.00011959926607680639,
|
| 709 |
+
"loss": 0.40711078643798826,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.8200548056429514,
|
| 714 |
+
"grad_norm": 0.15258049964904785,
|
| 715 |
+
"learning_rate": 0.00011815358495730253,
|
| 716 |
+
"loss": 0.40592288970947266,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.8281741601542677,
|
| 721 |
+
"grad_norm": 0.14057976007461548,
|
| 722 |
+
"learning_rate": 0.00011670396955590974,
|
| 723 |
+
"loss": 0.3216592073440552,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.8362935146655841,
|
| 728 |
+
"grad_norm": 0.16660679876804352,
|
| 729 |
+
"learning_rate": 0.00011525073403622894,
|
| 730 |
+
"loss": 0.40019774436950684,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.8444128691769004,
|
| 735 |
+
"grad_norm": 0.17680172622203827,
|
| 736 |
+
"learning_rate": 0.0001137941933464204,
|
| 737 |
+
"loss": 0.4132580280303955,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.8525322236882168,
|
| 742 |
+
"grad_norm": 0.17041870951652527,
|
| 743 |
+
"learning_rate": 0.0001123346631509477,
|
| 744 |
+
"loss": 0.3415886878967285,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.8606515781995331,
|
| 749 |
+
"grad_norm": 0.15096868574619293,
|
| 750 |
+
"learning_rate": 0.00011087245976216607,
|
| 751 |
+
"loss": 0.4133938789367676,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.8687709327108495,
|
| 756 |
+
"grad_norm": 0.15110765397548676,
|
| 757 |
+
"learning_rate": 0.00010940790007177069,
|
| 758 |
+
"loss": 0.38502039909362795,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.8768902872221659,
|
| 763 |
+
"grad_norm": 0.1299409419298172,
|
| 764 |
+
"learning_rate": 0.00010794130148211918,
|
| 765 |
+
"loss": 0.36754612922668456,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.8850096417334822,
|
| 770 |
+
"grad_norm": 0.16098879277706146,
|
| 771 |
+
"learning_rate": 0.00010647298183744359,
|
| 772 |
+
"loss": 0.4300854206085205,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.8931289962447986,
|
| 777 |
+
"grad_norm": 0.18567131459712982,
|
| 778 |
+
"learning_rate": 0.00010500325935496654,
|
| 779 |
+
"loss": 0.4555531978607178,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.9012483507561149,
|
| 784 |
+
"grad_norm": 0.15725167095661163,
|
| 785 |
+
"learning_rate": 0.00010353245255593645,
|
| 786 |
+
"loss": 0.40347743034362793,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.9093677052674313,
|
| 791 |
+
"grad_norm": 0.18014128506183624,
|
| 792 |
+
"learning_rate": 0.0001020608801965971,
|
| 793 |
+
"loss": 0.43356914520263673,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.9174870597787476,
|
| 798 |
+
"grad_norm": 0.14646700024604797,
|
| 799 |
+
"learning_rate": 0.00010058886119910603,
|
| 800 |
+
"loss": 0.3579983949661255,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.925606414290064,
|
| 805 |
+
"grad_norm": 0.15054835379123688,
|
| 806 |
+
"learning_rate": 9.911671458241707e-05,
|
| 807 |
+
"loss": 0.412873363494873,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.9337257688013803,
|
| 812 |
+
"grad_norm": 0.1782434582710266,
|
| 813 |
+
"learning_rate": 9.764475939314199e-05,
|
| 814 |
+
"loss": 0.3661553144454956,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.9418451233126967,
|
| 819 |
+
"grad_norm": 0.14244233071804047,
|
| 820 |
+
"learning_rate": 9.6173314636406e-05,
|
| 821 |
+
"loss": 0.33595120906829834,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.9499644778240129,
|
| 826 |
+
"grad_norm": 0.15346868336200714,
|
| 827 |
+
"learning_rate": 9.470269920671242e-05,
|
| 828 |
+
"loss": 0.35301713943481444,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.9580838323353293,
|
| 833 |
+
"grad_norm": 0.17095577716827393,
|
| 834 |
+
"learning_rate": 9.323323181883093e-05,
|
| 835 |
+
"loss": 0.46831064224243163,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.9662031868466457,
|
| 840 |
+
"grad_norm": 0.16479066014289856,
|
| 841 |
+
"learning_rate": 9.176523093872545e-05,
|
| 842 |
+
"loss": 0.35177159309387207,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.974322541357962,
|
| 847 |
+
"grad_norm": 0.15938977897167206,
|
| 848 |
+
"learning_rate": 9.02990147145352e-05,
|
| 849 |
+
"loss": 0.40160298347473145,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.9824418958692784,
|
| 854 |
+
"grad_norm": 0.15273737907409668,
|
| 855 |
+
"learning_rate": 8.883490090762524e-05,
|
| 856 |
+
"loss": 0.3344574451446533,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.9905612503805947,
|
| 861 |
+
"grad_norm": 0.17632175981998444,
|
| 862 |
+
"learning_rate": 8.737320682372048e-05,
|
| 863 |
+
"loss": 0.3946251392364502,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.9986806048919111,
|
| 868 |
+
"grad_norm": 0.1546667516231537,
|
| 869 |
+
"learning_rate": 8.59142492441384e-05,
|
| 870 |
+
"loss": 0.38449108600616455,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 1.0064954836090532,
|
| 875 |
+
"grad_norm": 0.1582242101430893,
|
| 876 |
+
"learning_rate": 8.445834435713589e-05,
|
| 877 |
+
"loss": 0.35192313194274905,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 1.0146148381203695,
|
| 882 |
+
"grad_norm": 0.16060605645179749,
|
| 883 |
+
"learning_rate": 8.300580768938389e-05,
|
| 884 |
+
"loss": 0.3984487295150757,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 1.0227341926316857,
|
| 889 |
+
"grad_norm": 0.15913701057434082,
|
| 890 |
+
"learning_rate": 8.155695403758614e-05,
|
| 891 |
+
"loss": 0.3666527271270752,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 1.030853547143002,
|
| 896 |
+
"grad_norm": 0.2222735434770584,
|
| 897 |
+
"learning_rate": 8.011209740025568e-05,
|
| 898 |
+
"loss": 0.39426436424255373,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 1.0389729016543185,
|
| 903 |
+
"grad_norm": 0.14628788828849792,
|
| 904 |
+
"learning_rate": 7.867155090966429e-05,
|
| 905 |
+
"loss": 0.3448423147201538,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 1.0470922561656348,
|
| 910 |
+
"grad_norm": 0.1674235761165619,
|
| 911 |
+
"learning_rate": 7.723562676398017e-05,
|
| 912 |
+
"loss": 0.3735038280487061,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 1.0552116106769511,
|
| 917 |
+
"grad_norm": 0.1577482521533966,
|
| 918 |
+
"learning_rate": 7.580463615960731e-05,
|
| 919 |
+
"loss": 0.36143453121185304,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 1.0633309651882676,
|
| 924 |
+
"grad_norm": 0.15055105090141296,
|
| 925 |
+
"learning_rate": 7.437888922374276e-05,
|
| 926 |
+
"loss": 0.3465540647506714,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 1.071450319699584,
|
| 931 |
+
"grad_norm": 0.16190367937088013,
|
| 932 |
+
"learning_rate": 7.2958694947165e-05,
|
| 933 |
+
"loss": 0.3162075519561768,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 1.0795696742109002,
|
| 938 |
+
"grad_norm": 0.13373522460460663,
|
| 939 |
+
"learning_rate": 7.154436111726885e-05,
|
| 940 |
+
"loss": 0.2877171516418457,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 1.0876890287222165,
|
| 945 |
+
"grad_norm": 0.1537173092365265,
|
| 946 |
+
"learning_rate": 7.013619425136125e-05,
|
| 947 |
+
"loss": 0.371155834197998,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 1.095808383233533,
|
| 952 |
+
"grad_norm": 0.153018981218338,
|
| 953 |
+
"learning_rate": 6.873449953023205e-05,
|
| 954 |
+
"loss": 0.3403003454208374,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 1.1039277377448493,
|
| 959 |
+
"grad_norm": 0.14698824286460876,
|
| 960 |
+
"learning_rate": 6.733958073201484e-05,
|
| 961 |
+
"loss": 0.3563337802886963,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 1.1120470922561656,
|
| 966 |
+
"grad_norm": 0.17373280227184296,
|
| 967 |
+
"learning_rate": 6.595174016635132e-05,
|
| 968 |
+
"loss": 0.36922128200531007,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 1.120166446767482,
|
| 973 |
+
"grad_norm": 0.1971225142478943,
|
| 974 |
+
"learning_rate": 6.457127860887424e-05,
|
| 975 |
+
"loss": 0.40238251686096194,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 1.1282858012787984,
|
| 980 |
+
"grad_norm": 0.1588146984577179,
|
| 981 |
+
"learning_rate": 6.319849523602271e-05,
|
| 982 |
+
"loss": 0.38647644519805907,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 1.1364051557901147,
|
| 987 |
+
"grad_norm": 0.1998201310634613,
|
| 988 |
+
"learning_rate": 6.18336875602039e-05,
|
| 989 |
+
"loss": 0.3392190933227539,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 1.144524510301431,
|
| 994 |
+
"grad_norm": 0.1279604434967041,
|
| 995 |
+
"learning_rate": 6.047715136531587e-05,
|
| 996 |
+
"loss": 0.29073169231414797,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 1.1526438648127475,
|
| 1001 |
+
"grad_norm": 0.17609012126922607,
|
| 1002 |
+
"learning_rate": 5.9129180642644414e-05,
|
| 1003 |
+
"loss": 0.3901878118515015,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 1.1607632193240638,
|
| 1008 |
+
"grad_norm": 0.1663195639848709,
|
| 1009 |
+
"learning_rate": 5.779006752714868e-05,
|
| 1010 |
+
"loss": 0.3095200300216675,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 1.16888257383538,
|
| 1015 |
+
"grad_norm": 0.14723604917526245,
|
| 1016 |
+
"learning_rate": 5.646010223414924e-05,
|
| 1017 |
+
"loss": 0.3879781007766724,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 1.1770019283466964,
|
| 1022 |
+
"grad_norm": 0.19692786037921906,
|
| 1023 |
+
"learning_rate": 5.513957299643194e-05,
|
| 1024 |
+
"loss": 0.3436476469039917,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 1.1851212828580129,
|
| 1029 |
+
"grad_norm": 0.14053191244602203,
|
| 1030 |
+
"learning_rate": 5.382876600178155e-05,
|
| 1031 |
+
"loss": 0.32699582576751707,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 1.1932406373693292,
|
| 1036 |
+
"grad_norm": 0.18614161014556885,
|
| 1037 |
+
"learning_rate": 5.25279653309584e-05,
|
| 1038 |
+
"loss": 0.3756012201309204,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 1.2013599918806455,
|
| 1043 |
+
"grad_norm": 0.17593547701835632,
|
| 1044 |
+
"learning_rate": 5.1237452896132067e-05,
|
| 1045 |
+
"loss": 0.4036771297454834,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 1.2094793463919618,
|
| 1050 |
+
"grad_norm": 0.1469552218914032,
|
| 1051 |
+
"learning_rate": 4.9957508379784704e-05,
|
| 1052 |
+
"loss": 0.35532774925231936,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 1.2175987009032783,
|
| 1057 |
+
"grad_norm": 0.1465003490447998,
|
| 1058 |
+
"learning_rate": 4.86884091740975e-05,
|
| 1059 |
+
"loss": 0.3272955656051636,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 1.2257180554145946,
|
| 1064 |
+
"grad_norm": 0.16992369294166565,
|
| 1065 |
+
"learning_rate": 4.7430430320834e-05,
|
| 1066 |
+
"loss": 0.3861941576004028,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 1.2338374099259108,
|
| 1071 |
+
"grad_norm": 0.19381046295166016,
|
| 1072 |
+
"learning_rate": 4.618384445173228e-05,
|
| 1073 |
+
"loss": 0.36703226566314695,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 1.2419567644372274,
|
| 1078 |
+
"grad_norm": 0.1563887596130371,
|
| 1079 |
+
"learning_rate": 4.494892172941965e-05,
|
| 1080 |
+
"loss": 0.40213809013366697,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 1.2500761189485436,
|
| 1085 |
+
"grad_norm": 0.145489901304245,
|
| 1086 |
+
"learning_rate": 4.372592978886254e-05,
|
| 1087 |
+
"loss": 0.344010591506958,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 1.25819547345986,
|
| 1092 |
+
"grad_norm": 0.16564379632472992,
|
| 1093 |
+
"learning_rate": 4.2515133679364116e-05,
|
| 1094 |
+
"loss": 0.3600982904434204,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 1.2663148279711762,
|
| 1099 |
+
"grad_norm": 0.12342356890439987,
|
| 1100 |
+
"learning_rate": 4.13167958071221e-05,
|
| 1101 |
+
"loss": 0.32795798778533936,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 1.2744341824824925,
|
| 1106 |
+
"grad_norm": 0.18176662921905518,
|
| 1107 |
+
"learning_rate": 4.013117587835978e-05,
|
| 1108 |
+
"loss": 0.36577463150024414,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 1.282553536993809,
|
| 1113 |
+
"grad_norm": 0.1916268765926361,
|
| 1114 |
+
"learning_rate": 3.895853084304176e-05,
|
| 1115 |
+
"loss": 0.39234256744384766,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 1.2906728915051253,
|
| 1120 |
+
"grad_norm": 0.1897222399711609,
|
| 1121 |
+
"learning_rate": 3.779911483918739e-05,
|
| 1122 |
+
"loss": 0.41258983612060546,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 1.2987922460164416,
|
| 1127 |
+
"grad_norm": 0.15678349137306213,
|
| 1128 |
+
"learning_rate": 3.665317913779337e-05,
|
| 1129 |
+
"loss": 0.3665084600448608,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 1.3069116005277581,
|
| 1134 |
+
"grad_norm": 0.16308161616325378,
|
| 1135 |
+
"learning_rate": 3.552097208837775e-05,
|
| 1136 |
+
"loss": 0.3931357622146606,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 1.3150309550390744,
|
| 1141 |
+
"grad_norm": 0.1778445839881897,
|
| 1142 |
+
"learning_rate": 3.4402739065157266e-05,
|
| 1143 |
+
"loss": 0.3759305477142334,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 1.3231503095503907,
|
| 1148 |
+
"grad_norm": 0.1780257523059845,
|
| 1149 |
+
"learning_rate": 3.3298722413869155e-05,
|
| 1150 |
+
"loss": 0.3472525358200073,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 1.3312696640617072,
|
| 1155 |
+
"grad_norm": 0.14955449104309082,
|
| 1156 |
+
"learning_rate": 3.2209161399249674e-05,
|
| 1157 |
+
"loss": 0.34793896675109864,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 1.3393890185730235,
|
| 1162 |
+
"grad_norm": 0.20207709074020386,
|
| 1163 |
+
"learning_rate": 3.1134292153180056e-05,
|
| 1164 |
+
"loss": 0.3454656362533569,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 1.3475083730843398,
|
| 1169 |
+
"grad_norm": 0.18875418603420258,
|
| 1170 |
+
"learning_rate": 3.007434762351147e-05,
|
| 1171 |
+
"loss": 0.3456529140472412,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 1.355627727595656,
|
| 1176 |
+
"grad_norm": 0.18712455034255981,
|
| 1177 |
+
"learning_rate": 2.9029557523580253e-05,
|
| 1178 |
+
"loss": 0.33401539325714114,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 1.3637470821069724,
|
| 1183 |
+
"grad_norm": 0.16952762007713318,
|
| 1184 |
+
"learning_rate": 2.800014828242381e-05,
|
| 1185 |
+
"loss": 0.3649503231048584,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 1.3718664366182889,
|
| 1190 |
+
"grad_norm": 0.19082432985305786,
|
| 1191 |
+
"learning_rate": 2.698634299570857e-05,
|
| 1192 |
+
"loss": 0.3909872770309448,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 1.3799857911296052,
|
| 1197 |
+
"grad_norm": 0.16776010394096375,
|
| 1198 |
+
"learning_rate": 2.5988361377380188e-05,
|
| 1199 |
+
"loss": 0.3379994869232178,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 1.3881051456409215,
|
| 1204 |
+
"grad_norm": 0.19785159826278687,
|
| 1205 |
+
"learning_rate": 2.5006419712046636e-05,
|
| 1206 |
+
"loss": 0.3403695821762085,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 1.396224500152238,
|
| 1211 |
+
"grad_norm": 0.12651121616363525,
|
| 1212 |
+
"learning_rate": 2.4040730808104706e-05,
|
| 1213 |
+
"loss": 0.37059574127197265,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 1.4043438546635543,
|
| 1218 |
+
"grad_norm": 0.18700380623340607,
|
| 1219 |
+
"learning_rate": 2.3091503951619543e-05,
|
| 1220 |
+
"loss": 0.4034583568572998,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 1.4124632091748706,
|
| 1225 |
+
"grad_norm": 0.1756463646888733,
|
| 1226 |
+
"learning_rate": 2.2158944860967946e-05,
|
| 1227 |
+
"loss": 0.3308366060256958,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 1.420582563686187,
|
| 1232 |
+
"grad_norm": 0.19831162691116333,
|
| 1233 |
+
"learning_rate": 2.1243255642254578e-05,
|
| 1234 |
+
"loss": 0.3691343069076538,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 1.4287019181975034,
|
| 1239 |
+
"grad_norm": 0.1685105711221695,
|
| 1240 |
+
"learning_rate": 2.0344634745511015e-05,
|
| 1241 |
+
"loss": 0.3646685600280762,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 1.4368212727088197,
|
| 1246 |
+
"grad_norm": 0.1513417512178421,
|
| 1247 |
+
"learning_rate": 1.9463276921687458e-05,
|
| 1248 |
+
"loss": 0.3358032464981079,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 1.444940627220136,
|
| 1253 |
+
"grad_norm": 0.21079151332378387,
|
| 1254 |
+
"learning_rate": 1.8599373180445688e-05,
|
| 1255 |
+
"loss": 0.38408379554748534,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 1.4530599817314522,
|
| 1260 |
+
"grad_norm": 0.1852787733078003,
|
| 1261 |
+
"learning_rate": 1.775311074876329e-05,
|
| 1262 |
+
"loss": 0.3572732925415039,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 1.4611793362427687,
|
| 1267 |
+
"grad_norm": 0.18594121932983398,
|
| 1268 |
+
"learning_rate": 1.6924673030357285e-05,
|
| 1269 |
+
"loss": 0.34491288661956787,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 1.469298690754085,
|
| 1274 |
+
"grad_norm": 0.16469211876392365,
|
| 1275 |
+
"learning_rate": 1.6114239565936484e-05,
|
| 1276 |
+
"loss": 0.3106041193008423,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 1.4774180452654013,
|
| 1281 |
+
"grad_norm": 0.146048441529274,
|
| 1282 |
+
"learning_rate": 1.532198599429122e-05,
|
| 1283 |
+
"loss": 0.3674412965774536,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 1.4855373997767178,
|
| 1288 |
+
"grad_norm": 0.18818271160125732,
|
| 1289 |
+
"learning_rate": 1.454808401422837e-05,
|
| 1290 |
+
"loss": 0.3938064336776733,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 1.4936567542880341,
|
| 1295 |
+
"grad_norm": 0.20953674614429474,
|
| 1296 |
+
"learning_rate": 1.379270134736057e-05,
|
| 1297 |
+
"loss": 0.30992081165313723,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 1.5017761087993504,
|
| 1302 |
+
"grad_norm": 0.21023158729076385,
|
| 1303 |
+
"learning_rate": 1.3056001701757226e-05,
|
| 1304 |
+
"loss": 0.3922957181930542,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 1.509895463310667,
|
| 1309 |
+
"grad_norm": 0.18391859531402588,
|
| 1310 |
+
"learning_rate": 1.233814473646524e-05,
|
| 1311 |
+
"loss": 0.3312171459197998,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 1.518014817821983,
|
| 1316 |
+
"grad_norm": 0.20905567705631256,
|
| 1317 |
+
"learning_rate": 1.1639286026907581e-05,
|
| 1318 |
+
"loss": 0.33843116760253905,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 1.5261341723332995,
|
| 1323 |
+
"grad_norm": 0.2057563066482544,
|
| 1324 |
+
"learning_rate": 1.0959577031166513e-05,
|
| 1325 |
+
"loss": 0.32880287170410155,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 1.5342535268446158,
|
| 1330 |
+
"grad_norm": 0.16004444658756256,
|
| 1331 |
+
"learning_rate": 1.0299165057159332e-05,
|
| 1332 |
+
"loss": 0.3609264850616455,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 1.542372881355932,
|
| 1337 |
+
"grad_norm": 0.18283307552337646,
|
| 1338 |
+
"learning_rate": 9.658193230713509e-06,
|
| 1339 |
+
"loss": 0.36747682094573975,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 1.5504922358672486,
|
| 1344 |
+
"grad_norm": 0.13987980782985687,
|
| 1345 |
+
"learning_rate": 9.036800464548157e-06,
|
| 1346 |
+
"loss": 0.3149809598922729,
|
| 1347 |
+
"step": 1910
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 1.558611590378565,
|
| 1351 |
+
"grad_norm": 0.20485147833824158,
|
| 1352 |
+
"learning_rate": 8.435121428168613e-06,
|
| 1353 |
+
"loss": 0.3814858436584473,
|
| 1354 |
+
"step": 1920
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 1.5667309448898812,
|
| 1358 |
+
"grad_norm": 0.19381378591060638,
|
| 1359 |
+
"learning_rate": 7.853286518680503e-06,
|
| 1360 |
+
"loss": 0.3389918565750122,
|
| 1361 |
+
"step": 1930
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 1.5748502994011977,
|
| 1365 |
+
"grad_norm": 0.1762656271457672,
|
| 1366 |
+
"learning_rate": 7.291421832529921e-06,
|
| 1367 |
+
"loss": 0.3758829355239868,
|
| 1368 |
+
"step": 1940
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 1.582969653912514,
|
| 1372 |
+
"grad_norm": 0.18566051125526428,
|
| 1373 |
+
"learning_rate": 6.749649138175518e-06,
|
| 1374 |
+
"loss": 0.361565375328064,
|
| 1375 |
+
"step": 1950
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 1.5910890084238303,
|
| 1379 |
+
"grad_norm": 0.1679965704679489,
|
| 1380 |
+
"learning_rate": 6.228085849698495e-06,
|
| 1381 |
+
"loss": 0.3467693567276001,
|
| 1382 |
+
"step": 1960
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 1.5992083629351468,
|
| 1386 |
+
"grad_norm": 0.19734881818294525,
|
| 1387 |
+
"learning_rate": 5.726845001356573e-06,
|
| 1388 |
+
"loss": 0.41715250015258787,
|
| 1389 |
+
"step": 1970
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 1.6073277174464629,
|
| 1393 |
+
"grad_norm": 0.20948296785354614,
|
| 1394 |
+
"learning_rate": 5.246035223086821e-06,
|
| 1395 |
+
"loss": 0.3086181879043579,
|
| 1396 |
+
"step": 1980
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 1.6154470719577794,
|
| 1400 |
+
"grad_norm": 0.2349746823310852,
|
| 1401 |
+
"learning_rate": 4.785760716963205e-06,
|
| 1402 |
+
"loss": 0.2819353580474854,
|
| 1403 |
+
"step": 1990
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 1.6235664264690957,
|
| 1407 |
+
"grad_norm": 0.15716052055358887,
|
| 1408 |
+
"learning_rate": 4.346121234613732e-06,
|
| 1409 |
+
"loss": 0.4032479763031006,
|
| 1410 |
+
"step": 2000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 1.631685780980412,
|
| 1414 |
+
"grad_norm": 0.1870564967393875,
|
| 1415 |
+
"learning_rate": 3.927212055602003e-06,
|
| 1416 |
+
"loss": 0.3259021759033203,
|
| 1417 |
+
"step": 2010
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 1.6398051354917285,
|
| 1421 |
+
"grad_norm": 0.1917184740304947,
|
| 1422 |
+
"learning_rate": 3.5291239667781253e-06,
|
| 1423 |
+
"loss": 0.3619376182556152,
|
| 1424 |
+
"step": 2020
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 1.6479244900030448,
|
| 1428 |
+
"grad_norm": 0.15155203640460968,
|
| 1429 |
+
"learning_rate": 3.1519432426031504e-06,
|
| 1430 |
+
"loss": 0.3836283445358276,
|
| 1431 |
+
"step": 2030
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 1.656043844514361,
|
| 1435 |
+
"grad_norm": 0.18562212586402893,
|
| 1436 |
+
"learning_rate": 2.7957516264514593e-06,
|
| 1437 |
+
"loss": 0.35469727516174315,
|
| 1438 |
+
"step": 2040
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 1.6641631990256776,
|
| 1442 |
+
"grad_norm": 0.23471137881278992,
|
| 1443 |
+
"learning_rate": 2.4606263128952646e-06,
|
| 1444 |
+
"loss": 0.4092714309692383,
|
| 1445 |
+
"step": 2050
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 1.6722825535369938,
|
| 1449 |
+
"grad_norm": 0.19046807289123535,
|
| 1450 |
+
"learning_rate": 2.1466399309747364e-06,
|
| 1451 |
+
"loss": 0.37486720085144043,
|
| 1452 |
+
"step": 2060
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 1.6804019080483101,
|
| 1456 |
+
"grad_norm": 0.18093442916870117,
|
| 1457 |
+
"learning_rate": 1.8538605284577848e-06,
|
| 1458 |
+
"loss": 0.3519495248794556,
|
| 1459 |
+
"step": 2070
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 1.6885212625596266,
|
| 1463 |
+
"grad_norm": 0.17989413440227509,
|
| 1464 |
+
"learning_rate": 1.5823515570925763e-06,
|
| 1465 |
+
"loss": 0.36248462200164794,
|
| 1466 |
+
"step": 2080
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 1.6966406170709427,
|
| 1470 |
+
"grad_norm": 0.18000203371047974,
|
| 1471 |
+
"learning_rate": 1.3321718588561128e-06,
|
| 1472 |
+
"loss": 0.377717113494873,
|
| 1473 |
+
"step": 2090
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 1.7047599715822592,
|
| 1477 |
+
"grad_norm": 0.1857496201992035,
|
| 1478 |
+
"learning_rate": 1.1033756532019102e-06,
|
| 1479 |
+
"loss": 0.3373147964477539,
|
| 1480 |
+
"step": 2100
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 1.7128793260935755,
|
| 1484 |
+
"grad_norm": 0.15915660560131073,
|
| 1485 |
+
"learning_rate": 8.96012525309442e-07,
|
| 1486 |
+
"loss": 0.35358049869537356,
|
| 1487 |
+
"step": 2110
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 1.7209986806048918,
|
| 1491 |
+
"grad_norm": 0.18095794320106506,
|
| 1492 |
+
"learning_rate": 7.101274153379244e-07,
|
| 1493 |
+
"loss": 0.34168615341186526,
|
| 1494 |
+
"step": 2120
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 1.7291180351162083,
|
| 1498 |
+
"grad_norm": 0.13066989183425903,
|
| 1499 |
+
"learning_rate": 5.457606086868406e-07,
|
| 1500 |
+
"loss": 0.31731865406036375,
|
| 1501 |
+
"step": 2130
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 1.7372373896275246,
|
| 1505 |
+
"grad_norm": 0.15085873007774353,
|
| 1506 |
+
"learning_rate": 4.0294772726511274e-07,
|
| 1507 |
+
"loss": 0.3172720193862915,
|
| 1508 |
+
"step": 2140
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 1.745356744138841,
|
| 1512 |
+
"grad_norm": 0.1692853718996048,
|
| 1513 |
+
"learning_rate": 2.817197217711565e-07,
|
| 1514 |
+
"loss": 0.3663973808288574,
|
| 1515 |
+
"step": 2150
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 1.7534760986501574,
|
| 1519 |
+
"grad_norm": 0.1765965223312378,
|
| 1520 |
+
"learning_rate": 1.8210286498512307e-07,
|
| 1521 |
+
"loss": 0.3134049415588379,
|
| 1522 |
+
"step": 2160
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 1.7615954531614737,
|
| 1526 |
+
"grad_norm": 0.17754477262496948,
|
| 1527 |
+
"learning_rate": 1.0411874607501038e-07,
|
| 1528 |
+
"loss": 0.32787179946899414,
|
| 1529 |
+
"step": 2170
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 1.76971480767279,
|
| 1533 |
+
"grad_norm": 0.2181764841079712,
|
| 1534 |
+
"learning_rate": 4.778426591781626e-08,
|
| 1535 |
+
"loss": 0.40297679901123046,
|
| 1536 |
+
"step": 2180
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 1.7778341621841065,
|
| 1540 |
+
"grad_norm": 0.14845119416713715,
|
| 1541 |
+
"learning_rate": 1.3111633436779791e-08,
|
| 1542 |
+
"loss": 0.3253025054931641,
|
| 1543 |
+
"step": 2190
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 1.7859535166954226,
|
| 1547 |
+
"grad_norm": 0.16625212132930756,
|
| 1548 |
+
"learning_rate": 1.083629553977339e-10,
|
| 1549 |
+
"loss": 0.3306998014450073,
|
| 1550 |
+
"step": 2200
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.8465405793631793,
|
| 1554 |
+
"grad_norm": 0.31709548830986023,
|
| 1555 |
+
"learning_rate": 0.0001457833924251086,
|
| 1556 |
+
"loss": 0.6895709991455078,
|
| 1557 |
+
"step": 2210
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.8503710797222888,
|
| 1561 |
+
"grad_norm": 0.22089441120624542,
|
| 1562 |
+
"learning_rate": 0.0001453028317991183,
|
| 1563 |
+
"loss": 0.6232875347137451,
|
| 1564 |
+
"step": 2220
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.8542015800813981,
|
| 1568 |
+
"grad_norm": 0.22472961246967316,
|
| 1569 |
+
"learning_rate": 0.00014482095116054422,
|
| 1570 |
+
"loss": 0.580645751953125,
|
| 1571 |
+
"step": 2230
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.8580320804405075,
|
| 1575 |
+
"grad_norm": 0.18781282007694244,
|
| 1576 |
+
"learning_rate": 0.0001443377645501975,
|
| 1577 |
+
"loss": 0.5852691173553467,
|
| 1578 |
+
"step": 2240
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.861862580799617,
|
| 1582 |
+
"grad_norm": 0.3779642581939697,
|
| 1583 |
+
"learning_rate": 0.00014385328604694212,
|
| 1584 |
+
"loss": 0.5722718238830566,
|
| 1585 |
+
"step": 2250
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.8656930811587263,
|
| 1589 |
+
"grad_norm": 0.23427145183086395,
|
| 1590 |
+
"learning_rate": 0.0001433675297672846,
|
| 1591 |
+
"loss": 0.566037940979004,
|
| 1592 |
+
"step": 2260
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.8695235815178358,
|
| 1596 |
+
"grad_norm": 0.2183203548192978,
|
| 1597 |
+
"learning_rate": 0.00014288050986496268,
|
| 1598 |
+
"loss": 0.6243879795074463,
|
| 1599 |
+
"step": 2270
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.8733540818769452,
|
| 1603 |
+
"grad_norm": 0.2532879412174225,
|
| 1604 |
+
"learning_rate": 0.00014239224053053302,
|
| 1605 |
+
"loss": 0.5365942001342774,
|
| 1606 |
+
"step": 2280
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.8771845822360546,
|
| 1610 |
+
"grad_norm": 0.20788337290287018,
|
| 1611 |
+
"learning_rate": 0.00014190273599095762,
|
| 1612 |
+
"loss": 0.5467002868652344,
|
| 1613 |
+
"step": 2290
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.881015082595164,
|
| 1617 |
+
"grad_norm": 0.2582492232322693,
|
| 1618 |
+
"learning_rate": 0.00014141201050918922,
|
| 1619 |
+
"loss": 0.567399263381958,
|
| 1620 |
+
"step": 2300
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.8848455829542734,
|
| 1624 |
+
"grad_norm": 0.19094614684581757,
|
| 1625 |
+
"learning_rate": 0.00014092007838375592,
|
| 1626 |
+
"loss": 0.563731336593628,
|
| 1627 |
+
"step": 2310
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.8886760833133828,
|
| 1631 |
+
"grad_norm": 0.24398261308670044,
|
| 1632 |
+
"learning_rate": 0.00014042695394834436,
|
| 1633 |
+
"loss": 0.5930374145507813,
|
| 1634 |
+
"step": 2320
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.8925065836724922,
|
| 1638 |
+
"grad_norm": 0.1616758406162262,
|
| 1639 |
+
"learning_rate": 0.0001399326515713822,
|
| 1640 |
+
"loss": 0.5320866584777832,
|
| 1641 |
+
"step": 2330
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.8963370840316016,
|
| 1645 |
+
"grad_norm": 0.19463369250297546,
|
| 1646 |
+
"learning_rate": 0.00013943718565561936,
|
| 1647 |
+
"loss": 0.5593301296234131,
|
| 1648 |
+
"step": 2340
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.900167584390711,
|
| 1652 |
+
"grad_norm": 0.2512662410736084,
|
| 1653 |
+
"learning_rate": 0.0001389405706377084,
|
| 1654 |
+
"loss": 0.5519943237304688,
|
| 1655 |
+
"step": 2350
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.9039980847498205,
|
| 1659 |
+
"grad_norm": 0.24107597768306732,
|
| 1660 |
+
"learning_rate": 0.00013844282098778393,
|
| 1661 |
+
"loss": 0.5739433765411377,
|
| 1662 |
+
"step": 2360
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.9078285851089298,
|
| 1666 |
+
"grad_norm": 0.18342378735542297,
|
| 1667 |
+
"learning_rate": 0.00013794395120904089,
|
| 1668 |
+
"loss": 0.5859064102172852,
|
| 1669 |
+
"step": 2370
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.9116590854680393,
|
| 1673 |
+
"grad_norm": 0.20521777868270874,
|
| 1674 |
+
"learning_rate": 0.00013744397583731203,
|
| 1675 |
+
"loss": 0.5629020214080811,
|
| 1676 |
+
"step": 2380
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.9154895858271487,
|
| 1680 |
+
"grad_norm": 0.17162705957889557,
|
| 1681 |
+
"learning_rate": 0.00013694290944064435,
|
| 1682 |
+
"loss": 0.5632124900817871,
|
| 1683 |
+
"step": 2390
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.919320086186258,
|
| 1687 |
+
"grad_norm": 0.18732701241970062,
|
| 1688 |
+
"learning_rate": 0.00013644076661887452,
|
| 1689 |
+
"loss": 0.5588642120361328,
|
| 1690 |
+
"step": 2400
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.9231505865453675,
|
| 1694 |
+
"grad_norm": 0.21033287048339844,
|
| 1695 |
+
"learning_rate": 0.00013593756200320372,
|
| 1696 |
+
"loss": 0.5421002864837646,
|
| 1697 |
+
"step": 2410
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.9269810869044769,
|
| 1701 |
+
"grad_norm": 0.18077102303504944,
|
| 1702 |
+
"learning_rate": 0.0001354333102557712,
|
| 1703 |
+
"loss": 0.5636842727661133,
|
| 1704 |
+
"step": 2420
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.9308115872635863,
|
| 1708 |
+
"grad_norm": 0.19449454545974731,
|
| 1709 |
+
"learning_rate": 0.0001349280260692269,
|
| 1710 |
+
"loss": 0.5634388446807861,
|
| 1711 |
+
"step": 2430
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.9346420876226957,
|
| 1715 |
+
"grad_norm": 0.21519041061401367,
|
| 1716 |
+
"learning_rate": 0.00013442172416630355,
|
| 1717 |
+
"loss": 0.552568769454956,
|
| 1718 |
+
"step": 2440
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.9384725879818051,
|
| 1722 |
+
"grad_norm": 0.21668848395347595,
|
| 1723 |
+
"learning_rate": 0.0001339144192993876,
|
| 1724 |
+
"loss": 0.5575977325439453,
|
| 1725 |
+
"step": 2450
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.9423030883409146,
|
| 1729 |
+
"grad_norm": 0.20259518921375275,
|
| 1730 |
+
"learning_rate": 0.00013340612625008946,
|
| 1731 |
+
"loss": 0.5953729629516602,
|
| 1732 |
+
"step": 2460
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.946133588700024,
|
| 1736 |
+
"grad_norm": 0.22012926638126373,
|
| 1737 |
+
"learning_rate": 0.0001328968598288127,
|
| 1738 |
+
"loss": 0.5506711006164551,
|
| 1739 |
+
"step": 2470
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.9499640890591333,
|
| 1743 |
+
"grad_norm": 0.18549343943595886,
|
| 1744 |
+
"learning_rate": 0.0001323866348743225,
|
| 1745 |
+
"loss": 0.5871614456176758,
|
| 1746 |
+
"step": 2480
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.9537945894182428,
|
| 1750 |
+
"grad_norm": 0.1908208429813385,
|
| 1751 |
+
"learning_rate": 0.00013187546625331335,
|
| 1752 |
+
"loss": 0.5431451320648193,
|
| 1753 |
+
"step": 2490
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 0.9576250897773522,
|
| 1757 |
+
"grad_norm": 0.18781603872776031,
|
| 1758 |
+
"learning_rate": 0.0001313633688599759,
|
| 1759 |
+
"loss": 0.5061774730682373,
|
| 1760 |
+
"step": 2500
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 0.9614555901364615,
|
| 1764 |
+
"grad_norm": 0.2165912687778473,
|
| 1765 |
+
"learning_rate": 0.0001308503576155629,
|
| 1766 |
+
"loss": 0.5560242652893066,
|
| 1767 |
+
"step": 2510
|
| 1768 |
+
},
|
| 1769 |
+
{
|
| 1770 |
+
"epoch": 0.965286090495571,
|
| 1771 |
+
"grad_norm": 0.21473945677280426,
|
| 1772 |
+
"learning_rate": 0.00013033644746795445,
|
| 1773 |
+
"loss": 0.5335087776184082,
|
| 1774 |
+
"step": 2520
|
| 1775 |
+
},
|
| 1776 |
+
{
|
| 1777 |
+
"epoch": 0.9691165908546804,
|
| 1778 |
+
"grad_norm": 0.2197163999080658,
|
| 1779 |
+
"learning_rate": 0.00012982165339122246,
|
| 1780 |
+
"loss": 0.5561465263366699,
|
| 1781 |
+
"step": 2530
|
| 1782 |
+
},
|
| 1783 |
+
{
|
| 1784 |
+
"epoch": 0.9729470912137897,
|
| 1785 |
+
"grad_norm": 0.21780231595039368,
|
| 1786 |
+
"learning_rate": 0.00012930599038519434,
|
| 1787 |
+
"loss": 0.5662136554718018,
|
| 1788 |
+
"step": 2540
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 0.9767775915728992,
|
| 1792 |
+
"grad_norm": 0.1910906732082367,
|
| 1793 |
+
"learning_rate": 0.00012878947347501606,
|
| 1794 |
+
"loss": 0.5577693462371827,
|
| 1795 |
+
"step": 2550
|
| 1796 |
+
},
|
| 1797 |
+
{
|
| 1798 |
+
"epoch": 0.9806080919320086,
|
| 1799 |
+
"grad_norm": 0.18059995770454407,
|
| 1800 |
+
"learning_rate": 0.0001282721177107141,
|
| 1801 |
+
"loss": 0.531907606124878,
|
| 1802 |
+
"step": 2560
|
| 1803 |
+
},
|
| 1804 |
+
{
|
| 1805 |
+
"epoch": 0.9844385922911181,
|
| 1806 |
+
"grad_norm": 0.24920019507408142,
|
| 1807 |
+
"learning_rate": 0.00012775393816675718,
|
| 1808 |
+
"loss": 0.497232723236084,
|
| 1809 |
+
"step": 2570
|
| 1810 |
+
},
|
| 1811 |
+
{
|
| 1812 |
+
"epoch": 0.9882690926502274,
|
| 1813 |
+
"grad_norm": 0.2506183385848999,
|
| 1814 |
+
"learning_rate": 0.00012723494994161682,
|
| 1815 |
+
"loss": 0.5702355384826661,
|
| 1816 |
+
"step": 2580
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 0.9920995930093368,
|
| 1820 |
+
"grad_norm": 0.207411989569664,
|
| 1821 |
+
"learning_rate": 0.00012671516815732767,
|
| 1822 |
+
"loss": 0.5431533813476562,
|
| 1823 |
+
"step": 2590
|
| 1824 |
+
},
|
| 1825 |
+
{
|
| 1826 |
+
"epoch": 0.9959300933684463,
|
| 1827 |
+
"grad_norm": 0.20407091081142426,
|
| 1828 |
+
"learning_rate": 0.00012619460795904657,
|
| 1829 |
+
"loss": 0.5356565952301026,
|
| 1830 |
+
"step": 2600
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 0.9997605937275557,
|
| 1834 |
+
"grad_norm": 0.19829393923282623,
|
| 1835 |
+
"learning_rate": 0.00012567328451461152,
|
| 1836 |
+
"loss": 0.5477075576782227,
|
| 1837 |
+
"step": 2610
|
| 1838 |
+
},
|
| 1839 |
+
{
|
| 1840 |
+
"epoch": 1.0034474503231985,
|
| 1841 |
+
"grad_norm": 0.2388325333595276,
|
| 1842 |
+
"learning_rate": 0.0001251512130140996,
|
| 1843 |
+
"loss": 0.6198837280273437,
|
| 1844 |
+
"step": 2620
|
| 1845 |
+
},
|
| 1846 |
+
{
|
| 1847 |
+
"epoch": 1.007277950682308,
|
| 1848 |
+
"grad_norm": 0.18306539952754974,
|
| 1849 |
+
"learning_rate": 0.00012462840866938436,
|
| 1850 |
+
"loss": 0.5606157779693604,
|
| 1851 |
+
"step": 2630
|
| 1852 |
+
},
|
| 1853 |
+
{
|
| 1854 |
+
"epoch": 1.0111084510414172,
|
| 1855 |
+
"grad_norm": 0.19269554316997528,
|
| 1856 |
+
"learning_rate": 0.00012410488671369275,
|
| 1857 |
+
"loss": 0.5489321231842041,
|
| 1858 |
+
"step": 2640
|
| 1859 |
+
},
|
| 1860 |
+
{
|
| 1861 |
+
"epoch": 1.0149389514005267,
|
| 1862 |
+
"grad_norm": 0.21272292733192444,
|
| 1863 |
+
"learning_rate": 0.00012358066240116092,
|
| 1864 |
+
"loss": 0.5239657878875732,
|
| 1865 |
+
"step": 2650
|
| 1866 |
+
},
|
| 1867 |
+
{
|
| 1868 |
+
"epoch": 1.0187694517596362,
|
| 1869 |
+
"grad_norm": 0.18628379702568054,
|
| 1870 |
+
"learning_rate": 0.00012305575100639014,
|
| 1871 |
+
"loss": 0.4884448528289795,
|
| 1872 |
+
"step": 2660
|
| 1873 |
+
},
|
| 1874 |
+
{
|
| 1875 |
+
"epoch": 1.0225999521187454,
|
| 1876 |
+
"grad_norm": 0.20898866653442383,
|
| 1877 |
+
"learning_rate": 0.00012253016782400148,
|
| 1878 |
+
"loss": 0.5124496459960938,
|
| 1879 |
+
"step": 2670
|
| 1880 |
+
},
|
| 1881 |
+
{
|
| 1882 |
+
"epoch": 1.026430452477855,
|
| 1883 |
+
"grad_norm": 0.20223310589790344,
|
| 1884 |
+
"learning_rate": 0.00012200392816819022,
|
| 1885 |
+
"loss": 0.5053596019744873,
|
| 1886 |
+
"step": 2680
|
| 1887 |
+
},
|
| 1888 |
+
{
|
| 1889 |
+
"epoch": 1.0302609528369644,
|
| 1890 |
+
"grad_norm": 0.20589347183704376,
|
| 1891 |
+
"learning_rate": 0.00012147704737227971,
|
| 1892 |
+
"loss": 0.5432235717773437,
|
| 1893 |
+
"step": 2690
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 1.0340914531960737,
|
| 1897 |
+
"grad_norm": 0.19833305478096008,
|
| 1898 |
+
"learning_rate": 0.0001209495407882746,
|
| 1899 |
+
"loss": 0.507619047164917,
|
| 1900 |
+
"step": 2700
|
| 1901 |
+
},
|
| 1902 |
+
{
|
| 1903 |
+
"epoch": 1.0379219535551831,
|
| 1904 |
+
"grad_norm": 0.21857035160064697,
|
| 1905 |
+
"learning_rate": 0.0001204214237864133,
|
| 1906 |
+
"loss": 0.5090025901794434,
|
| 1907 |
+
"step": 2710
|
| 1908 |
+
},
|
| 1909 |
+
{
|
| 1910 |
+
"epoch": 1.0417524539142926,
|
| 1911 |
+
"grad_norm": 0.23668751120567322,
|
| 1912 |
+
"learning_rate": 0.00011989271175472037,
|
| 1913 |
+
"loss": 0.5485597610473633,
|
| 1914 |
+
"step": 2720
|
| 1915 |
+
},
|
| 1916 |
+
{
|
| 1917 |
+
"epoch": 1.0455829542734019,
|
| 1918 |
+
"grad_norm": 0.19491468369960785,
|
| 1919 |
+
"learning_rate": 0.00011936342009855805,
|
| 1920 |
+
"loss": 0.5889732360839843,
|
| 1921 |
+
"step": 2730
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 1.0494134546325113,
|
| 1925 |
+
"grad_norm": 0.23975807428359985,
|
| 1926 |
+
"learning_rate": 0.00011883356424017748,
|
| 1927 |
+
"loss": 0.5385537624359131,
|
| 1928 |
+
"step": 2740
|
| 1929 |
+
},
|
| 1930 |
+
{
|
| 1931 |
+
"epoch": 1.0532439549916208,
|
| 1932 |
+
"grad_norm": 0.22210931777954102,
|
| 1933 |
+
"learning_rate": 0.00011830315961826917,
|
| 1934 |
+
"loss": 0.5223836898803711,
|
| 1935 |
+
"step": 2750
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 1.05707445535073,
|
| 1939 |
+
"grad_norm": 0.23908647894859314,
|
| 1940 |
+
"learning_rate": 0.00011777222168751325,
|
| 1941 |
+
"loss": 0.5172951221466064,
|
| 1942 |
+
"step": 2760
|
| 1943 |
+
},
|
| 1944 |
+
{
|
| 1945 |
+
"epoch": 1.0609049557098396,
|
| 1946 |
+
"grad_norm": 0.19327178597450256,
|
| 1947 |
+
"learning_rate": 0.00011724076591812918,
|
| 1948 |
+
"loss": 0.5314321517944336,
|
| 1949 |
+
"step": 2770
|
| 1950 |
+
},
|
| 1951 |
+
{
|
| 1952 |
+
"epoch": 1.064735456068949,
|
| 1953 |
+
"grad_norm": 0.1691632866859436,
|
| 1954 |
+
"learning_rate": 0.00011670880779542495,
|
| 1955 |
+
"loss": 0.5226422786712647,
|
| 1956 |
+
"step": 2780
|
| 1957 |
+
},
|
| 1958 |
+
{
|
| 1959 |
+
"epoch": 1.0685659564280585,
|
| 1960 |
+
"grad_norm": 0.21012499928474426,
|
| 1961 |
+
"learning_rate": 0.00011617636281934592,
|
| 1962 |
+
"loss": 0.5367197513580322,
|
| 1963 |
+
"step": 2790
|
| 1964 |
+
},
|
| 1965 |
+
{
|
| 1966 |
+
"epoch": 1.0723964567871678,
|
| 1967 |
+
"grad_norm": 0.22527191042900085,
|
| 1968 |
+
"learning_rate": 0.0001156434465040231,
|
| 1969 |
+
"loss": 0.5030739784240723,
|
| 1970 |
+
"step": 2800
|
| 1971 |
+
},
|
| 1972 |
+
{
|
| 1973 |
+
"epoch": 1.0762269571462773,
|
| 1974 |
+
"grad_norm": 0.2014586478471756,
|
| 1975 |
+
"learning_rate": 0.00011511007437732117,
|
| 1976 |
+
"loss": 0.5275944232940674,
|
| 1977 |
+
"step": 2810
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 1.0800574575053867,
|
| 1981 |
+
"grad_norm": 0.21319256722927094,
|
| 1982 |
+
"learning_rate": 0.00011457626198038604,
|
| 1983 |
+
"loss": 0.5280105113983155,
|
| 1984 |
+
"step": 2820
|
| 1985 |
+
}
|
| 1986 |
+
],
|
| 1987 |
+
"logging_steps": 10,
|
| 1988 |
+
"max_steps": 6000,
|
| 1989 |
+
"num_input_tokens_seen": 0,
|
| 1990 |
+
"num_train_epochs": 3,
|
| 1991 |
+
"save_steps": 25,
|
| 1992 |
+
"stateful_callbacks": {
|
| 1993 |
+
"TrainerControl": {
|
| 1994 |
+
"args": {
|
| 1995 |
+
"should_epoch_stop": false,
|
| 1996 |
+
"should_evaluate": false,
|
| 1997 |
+
"should_log": false,
|
| 1998 |
+
"should_save": true,
|
| 1999 |
+
"should_training_stop": false
|
| 2000 |
+
},
|
| 2001 |
+
"attributes": {}
|
| 2002 |
+
}
|
| 2003 |
+
},
|
| 2004 |
+
"total_flos": 4.445220414090486e+17,
|
| 2005 |
+
"train_batch_size": 4,
|
| 2006 |
+
"trial_name": null,
|
| 2007 |
+
"trial_params": null
|
| 2008 |
+
}
|
checkpoint-2825/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2dd737ade882c002f79b2b055bb95bc81c6f63b8dc1ed4dd502ccc03fccd30d5
|
| 3 |
+
size 5201
|