Instructions to use exzort/VineBot-checkpoint-2530 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use exzort/VineBot-checkpoint-2530 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "exzort/VineBot-checkpoint-2530") - Transformers
How to use exzort/VineBot-checkpoint-2530 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="exzort/VineBot-checkpoint-2530") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("exzort/VineBot-checkpoint-2530", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use exzort/VineBot-checkpoint-2530 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "exzort/VineBot-checkpoint-2530" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "exzort/VineBot-checkpoint-2530", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/exzort/VineBot-checkpoint-2530
- SGLang
How to use exzort/VineBot-checkpoint-2530 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 "exzort/VineBot-checkpoint-2530" \ --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": "exzort/VineBot-checkpoint-2530", "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 "exzort/VineBot-checkpoint-2530" \ --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": "exzort/VineBot-checkpoint-2530", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use exzort/VineBot-checkpoint-2530 with Docker Model Runner:
docker model run hf.co/exzort/VineBot-checkpoint-2530
Upload folder using huggingface_hub
Browse files- README.md +209 -0
- adapter_config.json +37 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +15 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +30 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
- trainer_state.json +492 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:TinyLlama/TinyLlama-1.1B-Chat-v1.0
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.17.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 8,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"v_proj",
|
| 29 |
+
"q_proj"
|
| 30 |
+
],
|
| 31 |
+
"target_parameters": null,
|
| 32 |
+
"task_type": "CAUSAL_LM",
|
| 33 |
+
"trainable_token_indices": null,
|
| 34 |
+
"use_dora": false,
|
| 35 |
+
"use_qalora": false,
|
| 36 |
+
"use_rslora": false
|
| 37 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6c8cc716bf7ec63290891b0846295f561c64e775fa47f0d4e5b91d4ba8d71722
|
| 3 |
+
size 4517152
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{% for message in messages %}
|
| 2 |
+
{% if message['role'] == 'user' %}
|
| 3 |
+
{{ '<|user|>
|
| 4 |
+
' + message['content'] + eos_token }}
|
| 5 |
+
{% elif message['role'] == 'system' %}
|
| 6 |
+
{{ '<|system|>
|
| 7 |
+
' + message['content'] + eos_token }}
|
| 8 |
+
{% elif message['role'] == 'assistant' %}
|
| 9 |
+
{{ '<|assistant|>
|
| 10 |
+
' + message['content'] + eos_token }}
|
| 11 |
+
{% endif %}
|
| 12 |
+
{% if loop.last and add_generation_prompt %}
|
| 13 |
+
{{ '<|assistant|>' }}
|
| 14 |
+
{% endif %}
|
| 15 |
+
{% endfor %}
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:95deeb26f5c3062e1e734d36257b6cb962a0cd071b869b209c7c40a00b3e124c
|
| 3 |
+
size 9063947
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:514136b009c764c373015cccbbf734d1681568c0bf29649204624eff3f63b917
|
| 3 |
+
size 14645
|
scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6cd70d88bdc41f5fba90d8298ab252d7406f5e25f3b0321970ff58f29c019af5
|
| 3 |
+
size 1383
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d618eab1752f87250b1bbf1ab46c8c56480748d826ca2bf1d9e138eb89ffd7f3
|
| 3 |
+
size 1465
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "</s>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<unk>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": true,
|
| 3 |
+
"add_eos_token": false,
|
| 4 |
+
"add_prefix_space": true,
|
| 5 |
+
"added_tokens_decoder": {
|
| 6 |
+
"0": {
|
| 7 |
+
"content": "<unk>",
|
| 8 |
+
"lstrip": false,
|
| 9 |
+
"normalized": false,
|
| 10 |
+
"rstrip": false,
|
| 11 |
+
"single_word": false,
|
| 12 |
+
"special": true
|
| 13 |
+
},
|
| 14 |
+
"1": {
|
| 15 |
+
"content": "<s>",
|
| 16 |
+
"lstrip": false,
|
| 17 |
+
"normalized": false,
|
| 18 |
+
"rstrip": false,
|
| 19 |
+
"single_word": false,
|
| 20 |
+
"special": true
|
| 21 |
+
},
|
| 22 |
+
"2": {
|
| 23 |
+
"content": "</s>",
|
| 24 |
+
"lstrip": false,
|
| 25 |
+
"normalized": false,
|
| 26 |
+
"rstrip": false,
|
| 27 |
+
"single_word": false,
|
| 28 |
+
"special": true
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"bos_token": "<s>",
|
| 32 |
+
"clean_up_tokenization_spaces": false,
|
| 33 |
+
"eos_token": "</s>",
|
| 34 |
+
"extra_special_tokens": {},
|
| 35 |
+
"legacy": false,
|
| 36 |
+
"model_max_length": 2048,
|
| 37 |
+
"pad_token": "</s>",
|
| 38 |
+
"padding_side": "right",
|
| 39 |
+
"sp_model_kwargs": {},
|
| 40 |
+
"spaces_between_special_tokens": false,
|
| 41 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 42 |
+
"unk_token": "<unk>",
|
| 43 |
+
"use_default_system_prompt": false
|
| 44 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,492 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 2530,
|
| 3 |
+
"best_metric": 1.2116608619689941,
|
| 4 |
+
"best_model_checkpoint": "/content/drive/MyDrive/tinyllama-qna-vinebot-41/checkpoint-2530",
|
| 5 |
+
"epoch": 11.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 2530,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.2178649237472767,
|
| 14 |
+
"grad_norm": 1.0952818393707275,
|
| 15 |
+
"learning_rate": 9.99742437568085e-05,
|
| 16 |
+
"loss": 2.0272,
|
| 17 |
+
"step": 50
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.4357298474945534,
|
| 21 |
+
"grad_norm": 1.8644359111785889,
|
| 22 |
+
"learning_rate": 9.989032472699667e-05,
|
| 23 |
+
"loss": 1.6038,
|
| 24 |
+
"step": 100
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.6535947712418301,
|
| 28 |
+
"grad_norm": 1.3627630472183228,
|
| 29 |
+
"learning_rate": 9.974823581026451e-05,
|
| 30 |
+
"loss": 1.5493,
|
| 31 |
+
"step": 150
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.8714596949891068,
|
| 35 |
+
"grad_norm": 1.9645041227340698,
|
| 36 |
+
"learning_rate": 9.954814267593302e-05,
|
| 37 |
+
"loss": 1.501,
|
| 38 |
+
"step": 200
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 1.0,
|
| 42 |
+
"eval_loss": 1.4637842178344727,
|
| 43 |
+
"eval_runtime": 16.0672,
|
| 44 |
+
"eval_samples_per_second": 14.253,
|
| 45 |
+
"eval_steps_per_second": 1.805,
|
| 46 |
+
"eval_token_accuracy": 0.0004675628151744604,
|
| 47 |
+
"step": 230
|
| 48 |
+
},
|
| 49 |
+
{
|
| 50 |
+
"epoch": 1.0871459694989107,
|
| 51 |
+
"grad_norm": 1.8468650579452515,
|
| 52 |
+
"learning_rate": 9.929027862364612e-05,
|
| 53 |
+
"loss": 1.4942,
|
| 54 |
+
"step": 250
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 1.3050108932461875,
|
| 58 |
+
"grad_norm": 1.7907674312591553,
|
| 59 |
+
"learning_rate": 9.897494431135397e-05,
|
| 60 |
+
"loss": 1.4429,
|
| 61 |
+
"step": 300
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 1.522875816993464,
|
| 65 |
+
"grad_norm": 2.254640817642212,
|
| 66 |
+
"learning_rate": 9.860250740475903e-05,
|
| 67 |
+
"loss": 1.3989,
|
| 68 |
+
"step": 350
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 1.7407407407407407,
|
| 72 |
+
"grad_norm": 2.1234710216522217,
|
| 73 |
+
"learning_rate": 9.817340214863442e-05,
|
| 74 |
+
"loss": 1.4048,
|
| 75 |
+
"step": 400
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 1.9586056644880174,
|
| 79 |
+
"grad_norm": 2.362985372543335,
|
| 80 |
+
"learning_rate": 9.768812886051388e-05,
|
| 81 |
+
"loss": 1.3909,
|
| 82 |
+
"step": 450
|
| 83 |
+
},
|
| 84 |
+
{
|
| 85 |
+
"epoch": 2.0,
|
| 86 |
+
"eval_loss": 1.3868604898452759,
|
| 87 |
+
"eval_runtime": 11.2019,
|
| 88 |
+
"eval_samples_per_second": 20.443,
|
| 89 |
+
"eval_steps_per_second": 2.589,
|
| 90 |
+
"eval_token_accuracy": 0.0007013442227616906,
|
| 91 |
+
"step": 460
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 2.1742919389978215,
|
| 95 |
+
"grad_norm": 2.196892499923706,
|
| 96 |
+
"learning_rate": 9.714725334734398e-05,
|
| 97 |
+
"loss": 1.3513,
|
| 98 |
+
"step": 500
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 2.392156862745098,
|
| 102 |
+
"grad_norm": 1.9330474138259888,
|
| 103 |
+
"learning_rate": 9.655140624577842e-05,
|
| 104 |
+
"loss": 1.3596,
|
| 105 |
+
"step": 550
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 2.610021786492375,
|
| 109 |
+
"grad_norm": 2.6164073944091797,
|
| 110 |
+
"learning_rate": 9.590128228688399e-05,
|
| 111 |
+
"loss": 1.3227,
|
| 112 |
+
"step": 600
|
| 113 |
+
},
|
| 114 |
+
{
|
| 115 |
+
"epoch": 2.8278867102396514,
|
| 116 |
+
"grad_norm": 2.614471673965454,
|
| 117 |
+
"learning_rate": 9.519763948611517e-05,
|
| 118 |
+
"loss": 1.3292,
|
| 119 |
+
"step": 650
|
| 120 |
+
},
|
| 121 |
+
{
|
| 122 |
+
"epoch": 3.0,
|
| 123 |
+
"eval_loss": 1.3313415050506592,
|
| 124 |
+
"eval_runtime": 11.5266,
|
| 125 |
+
"eval_samples_per_second": 19.867,
|
| 126 |
+
"eval_steps_per_second": 2.516,
|
| 127 |
+
"eval_token_accuracy": 0.0006428988999687135,
|
| 128 |
+
"step": 690
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 3.0435729847494555,
|
| 132 |
+
"grad_norm": 2.6838598251342773,
|
| 133 |
+
"learning_rate": 9.44412982595021e-05,
|
| 134 |
+
"loss": 1.2884,
|
| 135 |
+
"step": 700
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 3.261437908496732,
|
| 139 |
+
"grad_norm": 2.4964945316314697,
|
| 140 |
+
"learning_rate": 9.363314046708207e-05,
|
| 141 |
+
"loss": 1.2845,
|
| 142 |
+
"step": 750
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 3.4793028322440085,
|
| 146 |
+
"grad_norm": 2.8117692470550537,
|
| 147 |
+
"learning_rate": 9.277410838469025e-05,
|
| 148 |
+
"loss": 1.2864,
|
| 149 |
+
"step": 800
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 3.6971677559912854,
|
| 153 |
+
"grad_norm": 2.6701340675354004,
|
| 154 |
+
"learning_rate": 9.186520360530817e-05,
|
| 155 |
+
"loss": 1.2421,
|
| 156 |
+
"step": 850
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 3.915032679738562,
|
| 160 |
+
"grad_norm": 2.503159523010254,
|
| 161 |
+
"learning_rate": 9.090748587125118e-05,
|
| 162 |
+
"loss": 1.2604,
|
| 163 |
+
"step": 900
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 4.0,
|
| 167 |
+
"eval_loss": 1.2954490184783936,
|
| 168 |
+
"eval_runtime": 11.1793,
|
| 169 |
+
"eval_samples_per_second": 20.484,
|
| 170 |
+
"eval_steps_per_second": 2.594,
|
| 171 |
+
"eval_token_accuracy": 0.0005260081961750984,
|
| 172 |
+
"step": 920
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"epoch": 4.130718954248366,
|
| 176 |
+
"grad_norm": 3.0685791969299316,
|
| 177 |
+
"learning_rate": 8.990207183855619e-05,
|
| 178 |
+
"loss": 1.254,
|
| 179 |
+
"step": 950
|
| 180 |
+
},
|
| 181 |
+
{
|
| 182 |
+
"epoch": 4.348583877995643,
|
| 183 |
+
"grad_norm": 2.6776204109191895,
|
| 184 |
+
"learning_rate": 8.885013377501082e-05,
|
| 185 |
+
"loss": 1.2521,
|
| 186 |
+
"step": 1000
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 4.5664488017429194,
|
| 190 |
+
"grad_norm": 2.358538866043091,
|
| 191 |
+
"learning_rate": 8.775289819334149e-05,
|
| 192 |
+
"loss": 1.2206,
|
| 193 |
+
"step": 1050
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 4.784313725490196,
|
| 197 |
+
"grad_norm": 2.6545300483703613,
|
| 198 |
+
"learning_rate": 8.66116444211545e-05,
|
| 199 |
+
"loss": 1.2133,
|
| 200 |
+
"step": 1100
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 5.0,
|
| 204 |
+
"grad_norm": 3.259941339492798,
|
| 205 |
+
"learning_rate": 8.542770310929729e-05,
|
| 206 |
+
"loss": 1.1917,
|
| 207 |
+
"step": 1150
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 5.0,
|
| 211 |
+
"eval_loss": 1.2690343856811523,
|
| 212 |
+
"eval_runtime": 11.6359,
|
| 213 |
+
"eval_samples_per_second": 19.68,
|
| 214 |
+
"eval_steps_per_second": 2.492,
|
| 215 |
+
"eval_token_accuracy": 0.0006428988999687135,
|
| 216 |
+
"step": 1150
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 5.2178649237472765,
|
| 220 |
+
"grad_norm": 2.7574832439422607,
|
| 221 |
+
"learning_rate": 8.420245468037895e-05,
|
| 222 |
+
"loss": 1.1934,
|
| 223 |
+
"step": 1200
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 5.435729847494553,
|
| 227 |
+
"grad_norm": 2.779545783996582,
|
| 228 |
+
"learning_rate": 8.293732771925941e-05,
|
| 229 |
+
"loss": 1.1575,
|
| 230 |
+
"step": 1250
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 5.65359477124183,
|
| 234 |
+
"grad_norm": 2.864579677581787,
|
| 235 |
+
"learning_rate": 8.163379730738322e-05,
|
| 236 |
+
"loss": 1.1917,
|
| 237 |
+
"step": 1300
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 5.871459694989107,
|
| 241 |
+
"grad_norm": 3.3692564964294434,
|
| 242 |
+
"learning_rate": 8.029338330290068e-05,
|
| 243 |
+
"loss": 1.1852,
|
| 244 |
+
"step": 1350
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 6.0,
|
| 248 |
+
"eval_loss": 1.2505407333374023,
|
| 249 |
+
"eval_runtime": 11.1009,
|
| 250 |
+
"eval_samples_per_second": 20.629,
|
| 251 |
+
"eval_steps_per_second": 2.612,
|
| 252 |
+
"eval_token_accuracy": 0.0005260081961750984,
|
| 253 |
+
"step": 1380
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"epoch": 6.087145969498911,
|
| 257 |
+
"grad_norm": 2.826042890548706,
|
| 258 |
+
"learning_rate": 7.891764856858109e-05,
|
| 259 |
+
"loss": 1.1599,
|
| 260 |
+
"step": 1400
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 6.3050108932461875,
|
| 264 |
+
"grad_norm": 2.9128215312957764,
|
| 265 |
+
"learning_rate": 7.750819714958487e-05,
|
| 266 |
+
"loss": 1.111,
|
| 267 |
+
"step": 1450
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 6.522875816993464,
|
| 271 |
+
"grad_norm": 2.81060528755188,
|
| 272 |
+
"learning_rate": 7.606667240321847e-05,
|
| 273 |
+
"loss": 1.1499,
|
| 274 |
+
"step": 1500
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"epoch": 6.7407407407407405,
|
| 278 |
+
"grad_norm": 2.8380608558654785,
|
| 279 |
+
"learning_rate": 7.459475508285339e-05,
|
| 280 |
+
"loss": 1.1569,
|
| 281 |
+
"step": 1550
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"epoch": 6.958605664488017,
|
| 285 |
+
"grad_norm": 3.2343266010284424,
|
| 286 |
+
"learning_rate": 7.309416137824286e-05,
|
| 287 |
+
"loss": 1.1534,
|
| 288 |
+
"step": 1600
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 7.0,
|
| 292 |
+
"eval_loss": 1.2362457513809204,
|
| 293 |
+
"eval_runtime": 11.2969,
|
| 294 |
+
"eval_samples_per_second": 20.271,
|
| 295 |
+
"eval_steps_per_second": 2.567,
|
| 296 |
+
"eval_token_accuracy": 0.0004675628151744604,
|
| 297 |
+
"step": 1610
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 7.174291938997821,
|
| 301 |
+
"grad_norm": 3.2908899784088135,
|
| 302 |
+
"learning_rate": 7.156664091452134e-05,
|
| 303 |
+
"loss": 1.1062,
|
| 304 |
+
"step": 1650
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 7.392156862745098,
|
| 308 |
+
"grad_norm": 2.7138006687164307,
|
| 309 |
+
"learning_rate": 7.001397471221999e-05,
|
| 310 |
+
"loss": 1.0859,
|
| 311 |
+
"step": 1700
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 7.610021786492375,
|
| 315 |
+
"grad_norm": 2.898587942123413,
|
| 316 |
+
"learning_rate": 6.843797311067626e-05,
|
| 317 |
+
"loss": 1.1103,
|
| 318 |
+
"step": 1750
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 7.827886710239651,
|
| 322 |
+
"grad_norm": 3.0582330226898193,
|
| 323 |
+
"learning_rate": 6.684047365725933e-05,
|
| 324 |
+
"loss": 1.156,
|
| 325 |
+
"step": 1800
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 8.0,
|
| 329 |
+
"eval_loss": 1.223596215248108,
|
| 330 |
+
"eval_runtime": 11.3821,
|
| 331 |
+
"eval_samples_per_second": 20.119,
|
| 332 |
+
"eval_steps_per_second": 2.548,
|
| 333 |
+
"eval_token_accuracy": 0.0005260081961750984,
|
| 334 |
+
"step": 1840
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 8.043572984749455,
|
| 338 |
+
"grad_norm": 3.3806657791137695,
|
| 339 |
+
"learning_rate": 6.522333896487195e-05,
|
| 340 |
+
"loss": 1.0814,
|
| 341 |
+
"step": 1850
|
| 342 |
+
},
|
| 343 |
+
{
|
| 344 |
+
"epoch": 8.261437908496733,
|
| 345 |
+
"grad_norm": 2.9672374725341797,
|
| 346 |
+
"learning_rate": 6.358845454022724e-05,
|
| 347 |
+
"loss": 1.0857,
|
| 348 |
+
"step": 1900
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 8.47930283224401,
|
| 352 |
+
"grad_norm": 3.0525612831115723,
|
| 353 |
+
"learning_rate": 6.193772658543209e-05,
|
| 354 |
+
"loss": 1.08,
|
| 355 |
+
"step": 1950
|
| 356 |
+
},
|
| 357 |
+
{
|
| 358 |
+
"epoch": 8.697167755991286,
|
| 359 |
+
"grad_norm": 3.032627582550049,
|
| 360 |
+
"learning_rate": 6.0273079775440875e-05,
|
| 361 |
+
"loss": 1.076,
|
| 362 |
+
"step": 2000
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 8.915032679738562,
|
| 366 |
+
"grad_norm": 2.920048475265503,
|
| 367 |
+
"learning_rate": 5.859645501397048e-05,
|
| 368 |
+
"loss": 1.1022,
|
| 369 |
+
"step": 2050
|
| 370 |
+
},
|
| 371 |
+
{
|
| 372 |
+
"epoch": 9.0,
|
| 373 |
+
"eval_loss": 1.2166547775268555,
|
| 374 |
+
"eval_runtime": 11.1008,
|
| 375 |
+
"eval_samples_per_second": 20.629,
|
| 376 |
+
"eval_steps_per_second": 2.612,
|
| 377 |
+
"eval_token_accuracy": 0.0005260081961750984,
|
| 378 |
+
"step": 2070
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 9.130718954248366,
|
| 382 |
+
"grad_norm": 2.8219351768493652,
|
| 383 |
+
"learning_rate": 5.6909807170493415e-05,
|
| 384 |
+
"loss": 1.0579,
|
| 385 |
+
"step": 2100
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 9.348583877995642,
|
| 389 |
+
"grad_norm": 2.89310359954834,
|
| 390 |
+
"learning_rate": 5.521510280094744e-05,
|
| 391 |
+
"loss": 1.0563,
|
| 392 |
+
"step": 2150
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 9.566448801742919,
|
| 396 |
+
"grad_norm": 3.3332712650299072,
|
| 397 |
+
"learning_rate": 5.3514317854819365e-05,
|
| 398 |
+
"loss": 1.0717,
|
| 399 |
+
"step": 2200
|
| 400 |
+
},
|
| 401 |
+
{
|
| 402 |
+
"epoch": 9.784313725490197,
|
| 403 |
+
"grad_norm": 3.26670241355896,
|
| 404 |
+
"learning_rate": 5.1809435371276247e-05,
|
| 405 |
+
"loss": 1.039,
|
| 406 |
+
"step": 2250
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 10.0,
|
| 410 |
+
"grad_norm": 5.068799018859863,
|
| 411 |
+
"learning_rate": 5.010244316703052e-05,
|
| 412 |
+
"loss": 1.0618,
|
| 413 |
+
"step": 2300
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 10.0,
|
| 417 |
+
"eval_loss": 1.2120957374572754,
|
| 418 |
+
"eval_runtime": 11.5797,
|
| 419 |
+
"eval_samples_per_second": 19.776,
|
| 420 |
+
"eval_steps_per_second": 2.504,
|
| 421 |
+
"eval_token_accuracy": 0.0005260081961750984,
|
| 422 |
+
"step": 2300
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 10.217864923747277,
|
| 426 |
+
"grad_norm": 3.5102055072784424,
|
| 427 |
+
"learning_rate": 4.839533151863457e-05,
|
| 428 |
+
"loss": 1.0155,
|
| 429 |
+
"step": 2350
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 10.435729847494553,
|
| 433 |
+
"grad_norm": 2.582735538482666,
|
| 434 |
+
"learning_rate": 4.66900908419073e-05,
|
| 435 |
+
"loss": 1.0536,
|
| 436 |
+
"step": 2400
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 10.65359477124183,
|
| 440 |
+
"grad_norm": 3.611645460128784,
|
| 441 |
+
"learning_rate": 4.498870937119835e-05,
|
| 442 |
+
"loss": 1.033,
|
| 443 |
+
"step": 2450
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 10.871459694989106,
|
| 447 |
+
"grad_norm": 3.5989201068878174,
|
| 448 |
+
"learning_rate": 4.3293170841195784e-05,
|
| 449 |
+
"loss": 1.0315,
|
| 450 |
+
"step": 2500
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 11.0,
|
| 454 |
+
"eval_loss": 1.2116608619689941,
|
| 455 |
+
"eval_runtime": 11.1368,
|
| 456 |
+
"eval_samples_per_second": 20.562,
|
| 457 |
+
"eval_steps_per_second": 2.604,
|
| 458 |
+
"eval_token_accuracy": 0.0005260081961750984,
|
| 459 |
+
"step": 2530
|
| 460 |
+
}
|
| 461 |
+
],
|
| 462 |
+
"logging_steps": 50,
|
| 463 |
+
"max_steps": 4600,
|
| 464 |
+
"num_input_tokens_seen": 0,
|
| 465 |
+
"num_train_epochs": 20,
|
| 466 |
+
"save_steps": 500,
|
| 467 |
+
"stateful_callbacks": {
|
| 468 |
+
"EarlyStoppingCallback": {
|
| 469 |
+
"args": {
|
| 470 |
+
"early_stopping_patience": 2,
|
| 471 |
+
"early_stopping_threshold": 0.0
|
| 472 |
+
},
|
| 473 |
+
"attributes": {
|
| 474 |
+
"early_stopping_patience_counter": 0
|
| 475 |
+
}
|
| 476 |
+
},
|
| 477 |
+
"TrainerControl": {
|
| 478 |
+
"args": {
|
| 479 |
+
"should_epoch_stop": false,
|
| 480 |
+
"should_evaluate": false,
|
| 481 |
+
"should_log": false,
|
| 482 |
+
"should_save": true,
|
| 483 |
+
"should_training_stop": false
|
| 484 |
+
},
|
| 485 |
+
"attributes": {}
|
| 486 |
+
}
|
| 487 |
+
},
|
| 488 |
+
"total_flos": 1.2450731154997248e+16,
|
| 489 |
+
"train_batch_size": 4,
|
| 490 |
+
"trial_name": null,
|
| 491 |
+
"trial_params": null
|
| 492 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:88aefb76cad1df72eb132fa6f1150f0345289108530842c2a05fc8c5eaede24f
|
| 3 |
+
size 6097
|