Upload checkpoint-3930 to mmdocteam
Browse files- README.md +206 -0
- adapter_config.json +43 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +2841 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen3-Embedding-4B
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:Qwen/Qwen3-Embedding-4B
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- 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. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
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).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.17.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/Qwen3-Embedding-4B",
|
| 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": "gaussian",
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 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": 32,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"q_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"gate_proj",
|
| 31 |
+
"up_proj",
|
| 32 |
+
"k_proj",
|
| 33 |
+
"v_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"custom_text_proj"
|
| 36 |
+
],
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": "FEATURE_EXTRACTION",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_qalora": false,
|
| 42 |
+
"use_rslora": false
|
| 43 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d8b9283cdaae92c6e4815b2e02a247469e2f4531e91292c77094a9ef4cda3293
|
| 3 |
+
size 264650168
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ce13d0c082eccebc40f6836e33fa5a60546767c23f3356c3fb082bb782a902c2
|
| 3 |
+
size 529605265
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:650f4266af8355f1c3e15f88bdeb32f94ccc8bdee439fd9f3f53feadb9a401f5
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a6192a4939c7823e49ce88078697046a06c82b19dd04e36488cbb2bf0d746e0
|
| 3 |
+
size 1465
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2841 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 3930,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.002544529262086514,
|
| 14 |
+
"grad_norm": 2.135885238647461,
|
| 15 |
+
"learning_rate": 9.160305343511451e-07,
|
| 16 |
+
"loss": 0.1137,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.005089058524173028,
|
| 21 |
+
"grad_norm": 2.356735944747925,
|
| 22 |
+
"learning_rate": 1.933842239185751e-06,
|
| 23 |
+
"loss": 0.1656,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.007633587786259542,
|
| 28 |
+
"grad_norm": 3.483503818511963,
|
| 29 |
+
"learning_rate": 2.951653944020356e-06,
|
| 30 |
+
"loss": 0.1356,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.010178117048346057,
|
| 35 |
+
"grad_norm": 3.4808290004730225,
|
| 36 |
+
"learning_rate": 3.969465648854962e-06,
|
| 37 |
+
"loss": 0.1575,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.01272264631043257,
|
| 42 |
+
"grad_norm": 2.5104947090148926,
|
| 43 |
+
"learning_rate": 4.987277353689568e-06,
|
| 44 |
+
"loss": 0.0749,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.015267175572519083,
|
| 49 |
+
"grad_norm": 3.5466084480285645,
|
| 50 |
+
"learning_rate": 6.005089058524174e-06,
|
| 51 |
+
"loss": 0.0631,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.017811704834605598,
|
| 56 |
+
"grad_norm": 0.6639775633811951,
|
| 57 |
+
"learning_rate": 7.022900763358779e-06,
|
| 58 |
+
"loss": 0.0374,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.020356234096692113,
|
| 63 |
+
"grad_norm": 1.4179292917251587,
|
| 64 |
+
"learning_rate": 8.040712468193384e-06,
|
| 65 |
+
"loss": 0.0413,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.022900763358778626,
|
| 70 |
+
"grad_norm": 2.9656121730804443,
|
| 71 |
+
"learning_rate": 9.058524173027991e-06,
|
| 72 |
+
"loss": 0.0362,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.02544529262086514,
|
| 77 |
+
"grad_norm": 3.4811854362487793,
|
| 78 |
+
"learning_rate": 1.0076335877862595e-05,
|
| 79 |
+
"loss": 0.0411,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.027989821882951654,
|
| 84 |
+
"grad_norm": 2.1551337242126465,
|
| 85 |
+
"learning_rate": 1.1094147582697202e-05,
|
| 86 |
+
"loss": 0.0255,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.030534351145038167,
|
| 91 |
+
"grad_norm": 1.5262765884399414,
|
| 92 |
+
"learning_rate": 1.2111959287531807e-05,
|
| 93 |
+
"loss": 0.0225,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.03307888040712468,
|
| 98 |
+
"grad_norm": 1.3079928159713745,
|
| 99 |
+
"learning_rate": 1.3129770992366414e-05,
|
| 100 |
+
"loss": 0.0323,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.035623409669211195,
|
| 105 |
+
"grad_norm": 0.22996912896633148,
|
| 106 |
+
"learning_rate": 1.4147582697201019e-05,
|
| 107 |
+
"loss": 0.0188,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.03816793893129771,
|
| 112 |
+
"grad_norm": 1.0834699869155884,
|
| 113 |
+
"learning_rate": 1.5165394402035624e-05,
|
| 114 |
+
"loss": 0.0265,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.04071246819338423,
|
| 119 |
+
"grad_norm": 0.9807230830192566,
|
| 120 |
+
"learning_rate": 1.618320610687023e-05,
|
| 121 |
+
"loss": 0.0189,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.043256997455470736,
|
| 126 |
+
"grad_norm": 1.8505427837371826,
|
| 127 |
+
"learning_rate": 1.7201017811704836e-05,
|
| 128 |
+
"loss": 0.0142,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.04580152671755725,
|
| 133 |
+
"grad_norm": 0.346323698759079,
|
| 134 |
+
"learning_rate": 1.8218829516539443e-05,
|
| 135 |
+
"loss": 0.0237,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.04834605597964377,
|
| 140 |
+
"grad_norm": 1.4252818822860718,
|
| 141 |
+
"learning_rate": 1.923664122137405e-05,
|
| 142 |
+
"loss": 0.0169,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.05089058524173028,
|
| 147 |
+
"grad_norm": 0.624088704586029,
|
| 148 |
+
"learning_rate": 2.0254452926208653e-05,
|
| 149 |
+
"loss": 0.0153,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.05343511450381679,
|
| 154 |
+
"grad_norm": 0.7245016098022461,
|
| 155 |
+
"learning_rate": 2.127226463104326e-05,
|
| 156 |
+
"loss": 0.0211,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.05597964376590331,
|
| 161 |
+
"grad_norm": 1.2375560998916626,
|
| 162 |
+
"learning_rate": 2.2290076335877867e-05,
|
| 163 |
+
"loss": 0.0146,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.058524173027989825,
|
| 168 |
+
"grad_norm": 0.15632864832878113,
|
| 169 |
+
"learning_rate": 2.330788804071247e-05,
|
| 170 |
+
"loss": 0.0179,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.061068702290076333,
|
| 175 |
+
"grad_norm": 0.023025542497634888,
|
| 176 |
+
"learning_rate": 2.4325699745547078e-05,
|
| 177 |
+
"loss": 0.02,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.06361323155216285,
|
| 182 |
+
"grad_norm": 0.5999135375022888,
|
| 183 |
+
"learning_rate": 2.5343511450381678e-05,
|
| 184 |
+
"loss": 0.0057,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.06615776081424936,
|
| 189 |
+
"grad_norm": 0.08057913929224014,
|
| 190 |
+
"learning_rate": 2.6361323155216285e-05,
|
| 191 |
+
"loss": 0.0203,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.06870229007633588,
|
| 196 |
+
"grad_norm": 0.3958178460597992,
|
| 197 |
+
"learning_rate": 2.737913486005089e-05,
|
| 198 |
+
"loss": 0.0365,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.07124681933842239,
|
| 203 |
+
"grad_norm": 0.24179188907146454,
|
| 204 |
+
"learning_rate": 2.8396946564885498e-05,
|
| 205 |
+
"loss": 0.0198,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.0737913486005089,
|
| 210 |
+
"grad_norm": 1.3984962701797485,
|
| 211 |
+
"learning_rate": 2.9414758269720102e-05,
|
| 212 |
+
"loss": 0.0119,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.07633587786259542,
|
| 217 |
+
"grad_norm": 0.08135154098272324,
|
| 218 |
+
"learning_rate": 3.043256997455471e-05,
|
| 219 |
+
"loss": 0.0101,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.07888040712468193,
|
| 224 |
+
"grad_norm": 2.0051238536834717,
|
| 225 |
+
"learning_rate": 3.145038167938931e-05,
|
| 226 |
+
"loss": 0.0245,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.08142493638676845,
|
| 231 |
+
"grad_norm": 0.49833422899246216,
|
| 232 |
+
"learning_rate": 3.246819338422392e-05,
|
| 233 |
+
"loss": 0.0181,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.08396946564885496,
|
| 238 |
+
"grad_norm": 0.09235569834709167,
|
| 239 |
+
"learning_rate": 3.3486005089058526e-05,
|
| 240 |
+
"loss": 0.0116,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.08651399491094147,
|
| 245 |
+
"grad_norm": 0.06826785206794739,
|
| 246 |
+
"learning_rate": 3.450381679389313e-05,
|
| 247 |
+
"loss": 0.0161,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.089058524173028,
|
| 252 |
+
"grad_norm": 1.1774462461471558,
|
| 253 |
+
"learning_rate": 3.552162849872774e-05,
|
| 254 |
+
"loss": 0.0144,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.0916030534351145,
|
| 259 |
+
"grad_norm": 0.6383160948753357,
|
| 260 |
+
"learning_rate": 3.653944020356235e-05,
|
| 261 |
+
"loss": 0.0197,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.09414758269720101,
|
| 266 |
+
"grad_norm": 0.7711915969848633,
|
| 267 |
+
"learning_rate": 3.755725190839695e-05,
|
| 268 |
+
"loss": 0.0086,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.09669211195928754,
|
| 273 |
+
"grad_norm": 0.7851189970970154,
|
| 274 |
+
"learning_rate": 3.8575063613231554e-05,
|
| 275 |
+
"loss": 0.0235,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.09923664122137404,
|
| 280 |
+
"grad_norm": 0.08650732040405273,
|
| 281 |
+
"learning_rate": 3.959287531806616e-05,
|
| 282 |
+
"loss": 0.0151,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.10178117048346055,
|
| 287 |
+
"grad_norm": 1.1360907554626465,
|
| 288 |
+
"learning_rate": 3.999971599165659e-05,
|
| 289 |
+
"loss": 0.021,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.10432569974554708,
|
| 294 |
+
"grad_norm": 1.1978349685668945,
|
| 295 |
+
"learning_rate": 3.9997980414323866e-05,
|
| 296 |
+
"loss": 0.0179,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.10687022900763359,
|
| 301 |
+
"grad_norm": 0.6965557932853699,
|
| 302 |
+
"learning_rate": 3.999466717882668e-05,
|
| 303 |
+
"loss": 0.021,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.10941475826972011,
|
| 308 |
+
"grad_norm": 0.6535700559616089,
|
| 309 |
+
"learning_rate": 3.998977654654908e-05,
|
| 310 |
+
"loss": 0.0153,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.11195928753180662,
|
| 315 |
+
"grad_norm": 0.04983607307076454,
|
| 316 |
+
"learning_rate": 3.998330890331731e-05,
|
| 317 |
+
"loss": 0.004,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.11450381679389313,
|
| 322 |
+
"grad_norm": 0.5391613245010376,
|
| 323 |
+
"learning_rate": 3.9975264759369426e-05,
|
| 324 |
+
"loss": 0.0096,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.11704834605597965,
|
| 329 |
+
"grad_norm": 0.28082016110420227,
|
| 330 |
+
"learning_rate": 3.996564474931495e-05,
|
| 331 |
+
"loss": 0.006,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.11959287531806616,
|
| 336 |
+
"grad_norm": 0.39269477128982544,
|
| 337 |
+
"learning_rate": 3.9954449632084905e-05,
|
| 338 |
+
"loss": 0.0055,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.12213740458015267,
|
| 343 |
+
"grad_norm": 0.016487566754221916,
|
| 344 |
+
"learning_rate": 3.9941680290871876e-05,
|
| 345 |
+
"loss": 0.0091,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.12468193384223919,
|
| 350 |
+
"grad_norm": 0.04324239119887352,
|
| 351 |
+
"learning_rate": 3.992733773306036e-05,
|
| 352 |
+
"loss": 0.0138,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.1272264631043257,
|
| 357 |
+
"grad_norm": 0.21221888065338135,
|
| 358 |
+
"learning_rate": 3.9911423090147286e-05,
|
| 359 |
+
"loss": 0.0195,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.1272264631043257,
|
| 364 |
+
"eval_loss": 0.04138721898198128,
|
| 365 |
+
"eval_runtime": 133.8001,
|
| 366 |
+
"eval_samples_per_second": 59.656,
|
| 367 |
+
"eval_steps_per_second": 0.471,
|
| 368 |
+
"step": 500
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.1297709923664122,
|
| 372 |
+
"grad_norm": 1.9429672956466675,
|
| 373 |
+
"learning_rate": 3.989393761765276e-05,
|
| 374 |
+
"loss": 0.0203,
|
| 375 |
+
"step": 510
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.13231552162849872,
|
| 379 |
+
"grad_norm": 0.18343333899974823,
|
| 380 |
+
"learning_rate": 3.987488269502098e-05,
|
| 381 |
+
"loss": 0.0137,
|
| 382 |
+
"step": 520
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.13486005089058525,
|
| 386 |
+
"grad_norm": 0.17485463619232178,
|
| 387 |
+
"learning_rate": 3.985425982551147e-05,
|
| 388 |
+
"loss": 0.0064,
|
| 389 |
+
"step": 530
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.13740458015267176,
|
| 393 |
+
"grad_norm": 0.8683700561523438,
|
| 394 |
+
"learning_rate": 3.983207063608044e-05,
|
| 395 |
+
"loss": 0.0107,
|
| 396 |
+
"step": 540
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.13994910941475827,
|
| 400 |
+
"grad_norm": 0.9228803515434265,
|
| 401 |
+
"learning_rate": 3.9808316877252454e-05,
|
| 402 |
+
"loss": 0.0105,
|
| 403 |
+
"step": 550
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.14249363867684478,
|
| 407 |
+
"grad_norm": 0.7613241076469421,
|
| 408 |
+
"learning_rate": 3.9783000422982316e-05,
|
| 409 |
+
"loss": 0.0123,
|
| 410 |
+
"step": 560
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.1450381679389313,
|
| 414 |
+
"grad_norm": 0.23881566524505615,
|
| 415 |
+
"learning_rate": 3.975612327050724e-05,
|
| 416 |
+
"loss": 0.0128,
|
| 417 |
+
"step": 570
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.1475826972010178,
|
| 421 |
+
"grad_norm": 0.31987839937210083,
|
| 422 |
+
"learning_rate": 3.97276875401893e-05,
|
| 423 |
+
"loss": 0.0043,
|
| 424 |
+
"step": 580
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.15012722646310434,
|
| 428 |
+
"grad_norm": 0.04161321371793747,
|
| 429 |
+
"learning_rate": 3.9697695475348125e-05,
|
| 430 |
+
"loss": 0.0119,
|
| 431 |
+
"step": 590
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.15267175572519084,
|
| 435 |
+
"grad_norm": 0.048683468252420425,
|
| 436 |
+
"learning_rate": 3.9666149442083934e-05,
|
| 437 |
+
"loss": 0.0022,
|
| 438 |
+
"step": 600
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.15521628498727735,
|
| 442 |
+
"grad_norm": 0.15322823822498322,
|
| 443 |
+
"learning_rate": 3.9633051929090895e-05,
|
| 444 |
+
"loss": 0.0114,
|
| 445 |
+
"step": 610
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.15776081424936386,
|
| 449 |
+
"grad_norm": 0.025288008153438568,
|
| 450 |
+
"learning_rate": 3.959840554746074e-05,
|
| 451 |
+
"loss": 0.015,
|
| 452 |
+
"step": 620
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.16030534351145037,
|
| 456 |
+
"grad_norm": 0.06146557256579399,
|
| 457 |
+
"learning_rate": 3.956221303047683e-05,
|
| 458 |
+
"loss": 0.0128,
|
| 459 |
+
"step": 630
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.1628498727735369,
|
| 463 |
+
"grad_norm": 0.41335877776145935,
|
| 464 |
+
"learning_rate": 3.9524477233398466e-05,
|
| 465 |
+
"loss": 0.0085,
|
| 466 |
+
"step": 640
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.16539440203562342,
|
| 470 |
+
"grad_norm": 0.21233712136745453,
|
| 471 |
+
"learning_rate": 3.9485201133235696e-05,
|
| 472 |
+
"loss": 0.003,
|
| 473 |
+
"step": 650
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.16793893129770993,
|
| 477 |
+
"grad_norm": 0.29870790243148804,
|
| 478 |
+
"learning_rate": 3.9444387828514404e-05,
|
| 479 |
+
"loss": 0.0105,
|
| 480 |
+
"step": 660
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.17048346055979643,
|
| 484 |
+
"grad_norm": 0.2143266797065735,
|
| 485 |
+
"learning_rate": 3.9402040539031895e-05,
|
| 486 |
+
"loss": 0.0081,
|
| 487 |
+
"step": 670
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.17302798982188294,
|
| 491 |
+
"grad_norm": 0.02664622664451599,
|
| 492 |
+
"learning_rate": 3.935816260560288e-05,
|
| 493 |
+
"loss": 0.0153,
|
| 494 |
+
"step": 680
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.17557251908396945,
|
| 498 |
+
"grad_norm": 0.3243009150028229,
|
| 499 |
+
"learning_rate": 3.931275748979588e-05,
|
| 500 |
+
"loss": 0.0195,
|
| 501 |
+
"step": 690
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.178117048346056,
|
| 505 |
+
"grad_norm": 0.680862545967102,
|
| 506 |
+
"learning_rate": 3.926582877366022e-05,
|
| 507 |
+
"loss": 0.0129,
|
| 508 |
+
"step": 700
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.1806615776081425,
|
| 512 |
+
"grad_norm": 0.6640552282333374,
|
| 513 |
+
"learning_rate": 3.9217380159443334e-05,
|
| 514 |
+
"loss": 0.0077,
|
| 515 |
+
"step": 710
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.183206106870229,
|
| 519 |
+
"grad_norm": 0.06368488073348999,
|
| 520 |
+
"learning_rate": 3.9167415469298775e-05,
|
| 521 |
+
"loss": 0.009,
|
| 522 |
+
"step": 720
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.18575063613231552,
|
| 526 |
+
"grad_norm": 0.8134492039680481,
|
| 527 |
+
"learning_rate": 3.9115938644984656e-05,
|
| 528 |
+
"loss": 0.0065,
|
| 529 |
+
"step": 730
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.18829516539440203,
|
| 533 |
+
"grad_norm": 0.33869367837905884,
|
| 534 |
+
"learning_rate": 3.906295374755266e-05,
|
| 535 |
+
"loss": 0.0069,
|
| 536 |
+
"step": 740
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.19083969465648856,
|
| 540 |
+
"grad_norm": 0.024942323565483093,
|
| 541 |
+
"learning_rate": 3.900846495702768e-05,
|
| 542 |
+
"loss": 0.01,
|
| 543 |
+
"step": 750
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.19338422391857507,
|
| 547 |
+
"grad_norm": 0.5529096126556396,
|
| 548 |
+
"learning_rate": 3.895247657207807e-05,
|
| 549 |
+
"loss": 0.0072,
|
| 550 |
+
"step": 760
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.19592875318066158,
|
| 554 |
+
"grad_norm": 0.48590993881225586,
|
| 555 |
+
"learning_rate": 3.8894993009676464e-05,
|
| 556 |
+
"loss": 0.0049,
|
| 557 |
+
"step": 770
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.1984732824427481,
|
| 561 |
+
"grad_norm": 0.1863989681005478,
|
| 562 |
+
"learning_rate": 3.883601880475138e-05,
|
| 563 |
+
"loss": 0.0077,
|
| 564 |
+
"step": 780
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.2010178117048346,
|
| 568 |
+
"grad_norm": 0.9839557409286499,
|
| 569 |
+
"learning_rate": 3.8775558609829434e-05,
|
| 570 |
+
"loss": 0.0086,
|
| 571 |
+
"step": 790
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.2035623409669211,
|
| 575 |
+
"grad_norm": 1.0942028760910034,
|
| 576 |
+
"learning_rate": 3.8713617194668264e-05,
|
| 577 |
+
"loss": 0.0184,
|
| 578 |
+
"step": 800
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.20610687022900764,
|
| 582 |
+
"grad_norm": 0.20266412198543549,
|
| 583 |
+
"learning_rate": 3.865019944588029e-05,
|
| 584 |
+
"loss": 0.0151,
|
| 585 |
+
"step": 810
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.20865139949109415,
|
| 589 |
+
"grad_norm": 0.14641156792640686,
|
| 590 |
+
"learning_rate": 3.858531036654718e-05,
|
| 591 |
+
"loss": 0.0035,
|
| 592 |
+
"step": 820
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.21119592875318066,
|
| 596 |
+
"grad_norm": 0.883431613445282,
|
| 597 |
+
"learning_rate": 3.851895507582514e-05,
|
| 598 |
+
"loss": 0.01,
|
| 599 |
+
"step": 830
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.21374045801526717,
|
| 603 |
+
"grad_norm": 0.8385990858078003,
|
| 604 |
+
"learning_rate": 3.8451138808541106e-05,
|
| 605 |
+
"loss": 0.019,
|
| 606 |
+
"step": 840
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.21628498727735368,
|
| 610 |
+
"grad_norm": 0.015678202733397484,
|
| 611 |
+
"learning_rate": 3.83818669147797e-05,
|
| 612 |
+
"loss": 0.0052,
|
| 613 |
+
"step": 850
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.21882951653944022,
|
| 617 |
+
"grad_norm": 0.1870308667421341,
|
| 618 |
+
"learning_rate": 3.831114485946121e-05,
|
| 619 |
+
"loss": 0.0177,
|
| 620 |
+
"step": 860
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.22137404580152673,
|
| 624 |
+
"grad_norm": 0.02714279294013977,
|
| 625 |
+
"learning_rate": 3.823897822191043e-05,
|
| 626 |
+
"loss": 0.0054,
|
| 627 |
+
"step": 870
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.22391857506361323,
|
| 631 |
+
"grad_norm": 0.052650295197963715,
|
| 632 |
+
"learning_rate": 3.816537269541651e-05,
|
| 633 |
+
"loss": 0.0108,
|
| 634 |
+
"step": 880
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.22646310432569974,
|
| 638 |
+
"grad_norm": 0.780659019947052,
|
| 639 |
+
"learning_rate": 3.8090334086783814e-05,
|
| 640 |
+
"loss": 0.0122,
|
| 641 |
+
"step": 890
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.22900763358778625,
|
| 645 |
+
"grad_norm": 0.054588913917541504,
|
| 646 |
+
"learning_rate": 3.801386831587379e-05,
|
| 647 |
+
"loss": 0.0094,
|
| 648 |
+
"step": 900
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.23155216284987276,
|
| 652 |
+
"grad_norm": 0.03867032378911972,
|
| 653 |
+
"learning_rate": 3.793598141513799e-05,
|
| 654 |
+
"loss": 0.0083,
|
| 655 |
+
"step": 910
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.2340966921119593,
|
| 659 |
+
"grad_norm": 0.030569806694984436,
|
| 660 |
+
"learning_rate": 3.785667952914213e-05,
|
| 661 |
+
"loss": 0.0096,
|
| 662 |
+
"step": 920
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.2366412213740458,
|
| 666 |
+
"grad_norm": 0.16147764027118683,
|
| 667 |
+
"learning_rate": 3.777596891408134e-05,
|
| 668 |
+
"loss": 0.0068,
|
| 669 |
+
"step": 930
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.23918575063613232,
|
| 673 |
+
"grad_norm": 0.0073355999775230885,
|
| 674 |
+
"learning_rate": 3.769385593728665e-05,
|
| 675 |
+
"loss": 0.002,
|
| 676 |
+
"step": 940
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.24173027989821882,
|
| 680 |
+
"grad_norm": 0.019785180687904358,
|
| 681 |
+
"learning_rate": 3.7610347076722594e-05,
|
| 682 |
+
"loss": 0.0116,
|
| 683 |
+
"step": 950
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.24427480916030533,
|
| 687 |
+
"grad_norm": 0.031664274632930756,
|
| 688 |
+
"learning_rate": 3.752544892047623e-05,
|
| 689 |
+
"loss": 0.0031,
|
| 690 |
+
"step": 960
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.24681933842239187,
|
| 694 |
+
"grad_norm": 0.20639267563819885,
|
| 695 |
+
"learning_rate": 3.7439168166237336e-05,
|
| 696 |
+
"loss": 0.0045,
|
| 697 |
+
"step": 970
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.24936386768447838,
|
| 701 |
+
"grad_norm": 0.028579477220773697,
|
| 702 |
+
"learning_rate": 3.7351511620770084e-05,
|
| 703 |
+
"loss": 0.0108,
|
| 704 |
+
"step": 980
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.25190839694656486,
|
| 708 |
+
"grad_norm": 0.1208048015832901,
|
| 709 |
+
"learning_rate": 3.726248619937601e-05,
|
| 710 |
+
"loss": 0.0052,
|
| 711 |
+
"step": 990
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.2544529262086514,
|
| 715 |
+
"grad_norm": 0.2995353937149048,
|
| 716 |
+
"learning_rate": 3.717209892534846e-05,
|
| 717 |
+
"loss": 0.0084,
|
| 718 |
+
"step": 1000
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.2544529262086514,
|
| 722 |
+
"eval_loss": 0.03396334871649742,
|
| 723 |
+
"eval_runtime": 133.7519,
|
| 724 |
+
"eval_samples_per_second": 59.678,
|
| 725 |
+
"eval_steps_per_second": 0.471,
|
| 726 |
+
"step": 1000
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 0.25699745547073793,
|
| 730 |
+
"grad_norm": 0.07392453402280807,
|
| 731 |
+
"learning_rate": 3.7080356929418534e-05,
|
| 732 |
+
"loss": 0.0043,
|
| 733 |
+
"step": 1010
|
| 734 |
+
},
|
| 735 |
+
{
|
| 736 |
+
"epoch": 0.2595419847328244,
|
| 737 |
+
"grad_norm": 0.2610020339488983,
|
| 738 |
+
"learning_rate": 3.698726744919252e-05,
|
| 739 |
+
"loss": 0.0053,
|
| 740 |
+
"step": 1020
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 0.26208651399491095,
|
| 744 |
+
"grad_norm": 0.4687274098396301,
|
| 745 |
+
"learning_rate": 3.6892837828580946e-05,
|
| 746 |
+
"loss": 0.0054,
|
| 747 |
+
"step": 1030
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 0.26463104325699743,
|
| 751 |
+
"grad_norm": 0.8513960242271423,
|
| 752 |
+
"learning_rate": 3.679707551721914e-05,
|
| 753 |
+
"loss": 0.0114,
|
| 754 |
+
"step": 1040
|
| 755 |
+
},
|
| 756 |
+
{
|
| 757 |
+
"epoch": 0.26717557251908397,
|
| 758 |
+
"grad_norm": 0.16143953800201416,
|
| 759 |
+
"learning_rate": 3.669998806987961e-05,
|
| 760 |
+
"loss": 0.0032,
|
| 761 |
+
"step": 1050
|
| 762 |
+
},
|
| 763 |
+
{
|
| 764 |
+
"epoch": 0.2697201017811705,
|
| 765 |
+
"grad_norm": 0.5393782258033752,
|
| 766 |
+
"learning_rate": 3.660158314587599e-05,
|
| 767 |
+
"loss": 0.0031,
|
| 768 |
+
"step": 1060
|
| 769 |
+
},
|
| 770 |
+
{
|
| 771 |
+
"epoch": 0.272264631043257,
|
| 772 |
+
"grad_norm": 0.718426525592804,
|
| 773 |
+
"learning_rate": 3.6501868508458784e-05,
|
| 774 |
+
"loss": 0.0069,
|
| 775 |
+
"step": 1070
|
| 776 |
+
},
|
| 777 |
+
{
|
| 778 |
+
"epoch": 0.2748091603053435,
|
| 779 |
+
"grad_norm": 0.5260499715805054,
|
| 780 |
+
"learning_rate": 3.640085202420296e-05,
|
| 781 |
+
"loss": 0.0089,
|
| 782 |
+
"step": 1080
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 0.27735368956743,
|
| 786 |
+
"grad_norm": 1.1758142709732056,
|
| 787 |
+
"learning_rate": 3.629854166238729e-05,
|
| 788 |
+
"loss": 0.0103,
|
| 789 |
+
"step": 1090
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 0.27989821882951654,
|
| 793 |
+
"grad_norm": 0.055875249207019806,
|
| 794 |
+
"learning_rate": 3.619494549436571e-05,
|
| 795 |
+
"loss": 0.0127,
|
| 796 |
+
"step": 1100
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.2824427480916031,
|
| 800 |
+
"grad_norm": 0.008975077420473099,
|
| 801 |
+
"learning_rate": 3.609007169293051e-05,
|
| 802 |
+
"loss": 0.0053,
|
| 803 |
+
"step": 1110
|
| 804 |
+
},
|
| 805 |
+
{
|
| 806 |
+
"epoch": 0.28498727735368956,
|
| 807 |
+
"grad_norm": 1.1436673402786255,
|
| 808 |
+
"learning_rate": 3.59839285316676e-05,
|
| 809 |
+
"loss": 0.0199,
|
| 810 |
+
"step": 1120
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 0.2875318066157761,
|
| 814 |
+
"grad_norm": 0.021079283207654953,
|
| 815 |
+
"learning_rate": 3.587652438430381e-05,
|
| 816 |
+
"loss": 0.0082,
|
| 817 |
+
"step": 1130
|
| 818 |
+
},
|
| 819 |
+
{
|
| 820 |
+
"epoch": 0.2900763358778626,
|
| 821 |
+
"grad_norm": 0.07130195945501328,
|
| 822 |
+
"learning_rate": 3.5767867724046254e-05,
|
| 823 |
+
"loss": 0.0033,
|
| 824 |
+
"step": 1140
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 0.2926208651399491,
|
| 828 |
+
"grad_norm": 0.04065077751874924,
|
| 829 |
+
"learning_rate": 3.5657967122913886e-05,
|
| 830 |
+
"loss": 0.0116,
|
| 831 |
+
"step": 1150
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 0.2951653944020356,
|
| 835 |
+
"grad_norm": 0.24563519656658173,
|
| 836 |
+
"learning_rate": 3.5546831251061245e-05,
|
| 837 |
+
"loss": 0.0079,
|
| 838 |
+
"step": 1160
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"epoch": 0.29770992366412213,
|
| 842 |
+
"grad_norm": 0.9268470406532288,
|
| 843 |
+
"learning_rate": 3.543446887609446e-05,
|
| 844 |
+
"loss": 0.0124,
|
| 845 |
+
"step": 1170
|
| 846 |
+
},
|
| 847 |
+
{
|
| 848 |
+
"epoch": 0.30025445292620867,
|
| 849 |
+
"grad_norm": 0.016148369759321213,
|
| 850 |
+
"learning_rate": 3.532088886237956e-05,
|
| 851 |
+
"loss": 0.0067,
|
| 852 |
+
"step": 1180
|
| 853 |
+
},
|
| 854 |
+
{
|
| 855 |
+
"epoch": 0.30279898218829515,
|
| 856 |
+
"grad_norm": 0.31386786699295044,
|
| 857 |
+
"learning_rate": 3.520610017034316e-05,
|
| 858 |
+
"loss": 0.0112,
|
| 859 |
+
"step": 1190
|
| 860 |
+
},
|
| 861 |
+
{
|
| 862 |
+
"epoch": 0.3053435114503817,
|
| 863 |
+
"grad_norm": 0.0506548136472702,
|
| 864 |
+
"learning_rate": 3.509011185576556e-05,
|
| 865 |
+
"loss": 0.0045,
|
| 866 |
+
"step": 1200
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 0.30788804071246817,
|
| 870 |
+
"grad_norm": 0.006185791455209255,
|
| 871 |
+
"learning_rate": 3.497293306906635e-05,
|
| 872 |
+
"loss": 0.0063,
|
| 873 |
+
"step": 1210
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 0.3104325699745547,
|
| 877 |
+
"grad_norm": 0.0029603582806885242,
|
| 878 |
+
"learning_rate": 3.4854573054582474e-05,
|
| 879 |
+
"loss": 0.0115,
|
| 880 |
+
"step": 1220
|
| 881 |
+
},
|
| 882 |
+
{
|
| 883 |
+
"epoch": 0.31297709923664124,
|
| 884 |
+
"grad_norm": 0.21243545413017273,
|
| 885 |
+
"learning_rate": 3.473504114983901e-05,
|
| 886 |
+
"loss": 0.0156,
|
| 887 |
+
"step": 1230
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
"epoch": 0.3155216284987277,
|
| 891 |
+
"grad_norm": 0.0054387981072068214,
|
| 892 |
+
"learning_rate": 3.4614346784812445e-05,
|
| 893 |
+
"loss": 0.0054,
|
| 894 |
+
"step": 1240
|
| 895 |
+
},
|
| 896 |
+
{
|
| 897 |
+
"epoch": 0.31806615776081426,
|
| 898 |
+
"grad_norm": 0.024968773126602173,
|
| 899 |
+
"learning_rate": 3.449249948118679e-05,
|
| 900 |
+
"loss": 0.0076,
|
| 901 |
+
"step": 1250
|
| 902 |
+
},
|
| 903 |
+
{
|
| 904 |
+
"epoch": 0.32061068702290074,
|
| 905 |
+
"grad_norm": 0.03241853415966034,
|
| 906 |
+
"learning_rate": 3.436950885160241e-05,
|
| 907 |
+
"loss": 0.0163,
|
| 908 |
+
"step": 1260
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 0.3231552162849873,
|
| 912 |
+
"grad_norm": 0.01735539920628071,
|
| 913 |
+
"learning_rate": 3.424538459889762e-05,
|
| 914 |
+
"loss": 0.0039,
|
| 915 |
+
"step": 1270
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 0.3256997455470738,
|
| 919 |
+
"grad_norm": 0.06729959696531296,
|
| 920 |
+
"learning_rate": 3.412013651534328e-05,
|
| 921 |
+
"loss": 0.0042,
|
| 922 |
+
"step": 1280
|
| 923 |
+
},
|
| 924 |
+
{
|
| 925 |
+
"epoch": 0.3282442748091603,
|
| 926 |
+
"grad_norm": 0.3944375813007355,
|
| 927 |
+
"learning_rate": 3.399377448187023e-05,
|
| 928 |
+
"loss": 0.005,
|
| 929 |
+
"step": 1290
|
| 930 |
+
},
|
| 931 |
+
{
|
| 932 |
+
"epoch": 0.33078880407124683,
|
| 933 |
+
"grad_norm": 0.1622209995985031,
|
| 934 |
+
"learning_rate": 3.386630846728981e-05,
|
| 935 |
+
"loss": 0.0089,
|
| 936 |
+
"step": 1300
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 0.3333333333333333,
|
| 940 |
+
"grad_norm": 0.35257425904273987,
|
| 941 |
+
"learning_rate": 3.3737748527507385e-05,
|
| 942 |
+
"loss": 0.0102,
|
| 943 |
+
"step": 1310
|
| 944 |
+
},
|
| 945 |
+
{
|
| 946 |
+
"epoch": 0.33587786259541985,
|
| 947 |
+
"grad_norm": 0.006066194269806147,
|
| 948 |
+
"learning_rate": 3.3608104804729044e-05,
|
| 949 |
+
"loss": 0.007,
|
| 950 |
+
"step": 1320
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 0.3384223918575064,
|
| 954 |
+
"grad_norm": 0.5449414849281311,
|
| 955 |
+
"learning_rate": 3.3477387526661455e-05,
|
| 956 |
+
"loss": 0.0043,
|
| 957 |
+
"step": 1330
|
| 958 |
+
},
|
| 959 |
+
{
|
| 960 |
+
"epoch": 0.34096692111959287,
|
| 961 |
+
"grad_norm": 0.7408241033554077,
|
| 962 |
+
"learning_rate": 3.3345607005705005e-05,
|
| 963 |
+
"loss": 0.0117,
|
| 964 |
+
"step": 1340
|
| 965 |
+
},
|
| 966 |
+
{
|
| 967 |
+
"epoch": 0.3435114503816794,
|
| 968 |
+
"grad_norm": 0.023742176592350006,
|
| 969 |
+
"learning_rate": 3.3212773638140244e-05,
|
| 970 |
+
"loss": 0.0087,
|
| 971 |
+
"step": 1350
|
| 972 |
+
},
|
| 973 |
+
{
|
| 974 |
+
"epoch": 0.3460559796437659,
|
| 975 |
+
"grad_norm": 1.317156195640564,
|
| 976 |
+
"learning_rate": 3.307889790330771e-05,
|
| 977 |
+
"loss": 0.0142,
|
| 978 |
+
"step": 1360
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 0.3486005089058524,
|
| 982 |
+
"grad_norm": 0.02913471683859825,
|
| 983 |
+
"learning_rate": 3.2943990362781204e-05,
|
| 984 |
+
"loss": 0.0075,
|
| 985 |
+
"step": 1370
|
| 986 |
+
},
|
| 987 |
+
{
|
| 988 |
+
"epoch": 0.3511450381679389,
|
| 989 |
+
"grad_norm": 0.3145289719104767,
|
| 990 |
+
"learning_rate": 3.2808061659534596e-05,
|
| 991 |
+
"loss": 0.0124,
|
| 992 |
+
"step": 1380
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 0.35368956743002544,
|
| 996 |
+
"grad_norm": 0.8884342312812805,
|
| 997 |
+
"learning_rate": 3.267112251710215e-05,
|
| 998 |
+
"loss": 0.0138,
|
| 999 |
+
"step": 1390
|
| 1000 |
+
},
|
| 1001 |
+
{
|
| 1002 |
+
"epoch": 0.356234096692112,
|
| 1003 |
+
"grad_norm": 0.06526913493871689,
|
| 1004 |
+
"learning_rate": 3.253318373873259e-05,
|
| 1005 |
+
"loss": 0.0058,
|
| 1006 |
+
"step": 1400
|
| 1007 |
+
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 0.35877862595419846,
|
| 1010 |
+
"grad_norm": 0.0658516213297844,
|
| 1011 |
+
"learning_rate": 3.239425620653676e-05,
|
| 1012 |
+
"loss": 0.0117,
|
| 1013 |
+
"step": 1410
|
| 1014 |
+
},
|
| 1015 |
+
{
|
| 1016 |
+
"epoch": 0.361323155216285,
|
| 1017 |
+
"grad_norm": 0.6546618938446045,
|
| 1018 |
+
"learning_rate": 3.225435088062919e-05,
|
| 1019 |
+
"loss": 0.0105,
|
| 1020 |
+
"step": 1420
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 0.3638676844783715,
|
| 1024 |
+
"grad_norm": 0.04139728471636772,
|
| 1025 |
+
"learning_rate": 3.211347879826339e-05,
|
| 1026 |
+
"loss": 0.0045,
|
| 1027 |
+
"step": 1430
|
| 1028 |
+
},
|
| 1029 |
+
{
|
| 1030 |
+
"epoch": 0.366412213740458,
|
| 1031 |
+
"grad_norm": 0.036788083612918854,
|
| 1032 |
+
"learning_rate": 3.1971651072961145e-05,
|
| 1033 |
+
"loss": 0.0145,
|
| 1034 |
+
"step": 1440
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 0.36895674300254455,
|
| 1038 |
+
"grad_norm": 0.011682255193591118,
|
| 1039 |
+
"learning_rate": 3.182887889363574e-05,
|
| 1040 |
+
"loss": 0.0087,
|
| 1041 |
+
"step": 1450
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 0.37150127226463103,
|
| 1045 |
+
"grad_norm": 0.012617946602404118,
|
| 1046 |
+
"learning_rate": 3.168517352370927e-05,
|
| 1047 |
+
"loss": 0.0105,
|
| 1048 |
+
"step": 1460
|
| 1049 |
+
},
|
| 1050 |
+
{
|
| 1051 |
+
"epoch": 0.37404580152671757,
|
| 1052 |
+
"grad_norm": 0.23141330480575562,
|
| 1053 |
+
"learning_rate": 3.1540546300224045e-05,
|
| 1054 |
+
"loss": 0.0036,
|
| 1055 |
+
"step": 1470
|
| 1056 |
+
},
|
| 1057 |
+
{
|
| 1058 |
+
"epoch": 0.37659033078880405,
|
| 1059 |
+
"grad_norm": 0.0778207927942276,
|
| 1060 |
+
"learning_rate": 3.1395008632948204e-05,
|
| 1061 |
+
"loss": 0.0114,
|
| 1062 |
+
"step": 1480
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 0.3791348600508906,
|
| 1066 |
+
"grad_norm": 0.08001686632633209,
|
| 1067 |
+
"learning_rate": 3.1248572003475614e-05,
|
| 1068 |
+
"loss": 0.0064,
|
| 1069 |
+
"step": 1490
|
| 1070 |
+
},
|
| 1071 |
+
{
|
| 1072 |
+
"epoch": 0.3816793893129771,
|
| 1073 |
+
"grad_norm": 0.021923579275608063,
|
| 1074 |
+
"learning_rate": 3.110124796432003e-05,
|
| 1075 |
+
"loss": 0.0132,
|
| 1076 |
+
"step": 1500
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 0.3816793893129771,
|
| 1080 |
+
"eval_loss": 0.026820363476872444,
|
| 1081 |
+
"eval_runtime": 133.7387,
|
| 1082 |
+
"eval_samples_per_second": 59.684,
|
| 1083 |
+
"eval_steps_per_second": 0.471,
|
| 1084 |
+
"step": 1500
|
| 1085 |
+
},
|
| 1086 |
+
{
|
| 1087 |
+
"epoch": 0.3842239185750636,
|
| 1088 |
+
"grad_norm": 0.9008615016937256,
|
| 1089 |
+
"learning_rate": 3.095304813800376e-05,
|
| 1090 |
+
"loss": 0.0097,
|
| 1091 |
+
"step": 1510
|
| 1092 |
+
},
|
| 1093 |
+
{
|
| 1094 |
+
"epoch": 0.38676844783715014,
|
| 1095 |
+
"grad_norm": 0.1783256083726883,
|
| 1096 |
+
"learning_rate": 3.0803984216140705e-05,
|
| 1097 |
+
"loss": 0.0032,
|
| 1098 |
+
"step": 1520
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 0.3893129770992366,
|
| 1102 |
+
"grad_norm": 0.24629077315330505,
|
| 1103 |
+
"learning_rate": 3.065406795851403e-05,
|
| 1104 |
+
"loss": 0.0066,
|
| 1105 |
+
"step": 1530
|
| 1106 |
+
},
|
| 1107 |
+
{
|
| 1108 |
+
"epoch": 0.39185750636132316,
|
| 1109 |
+
"grad_norm": 0.01836746744811535,
|
| 1110 |
+
"learning_rate": 3.05033111921484e-05,
|
| 1111 |
+
"loss": 0.0046,
|
| 1112 |
+
"step": 1540
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 0.3944020356234097,
|
| 1116 |
+
"grad_norm": 0.4903777539730072,
|
| 1117 |
+
"learning_rate": 3.035172581037698e-05,
|
| 1118 |
+
"loss": 0.0068,
|
| 1119 |
+
"step": 1550
|
| 1120 |
+
},
|
| 1121 |
+
{
|
| 1122 |
+
"epoch": 0.3969465648854962,
|
| 1123 |
+
"grad_norm": 0.18447284400463104,
|
| 1124 |
+
"learning_rate": 3.0199323771903094e-05,
|
| 1125 |
+
"loss": 0.0102,
|
| 1126 |
+
"step": 1560
|
| 1127 |
+
},
|
| 1128 |
+
{
|
| 1129 |
+
"epoch": 0.3994910941475827,
|
| 1130 |
+
"grad_norm": 0.11789367347955704,
|
| 1131 |
+
"learning_rate": 3.004611709985685e-05,
|
| 1132 |
+
"loss": 0.0029,
|
| 1133 |
+
"step": 1570
|
| 1134 |
+
},
|
| 1135 |
+
{
|
| 1136 |
+
"epoch": 0.4020356234096692,
|
| 1137 |
+
"grad_norm": 0.028994247317314148,
|
| 1138 |
+
"learning_rate": 2.9892117880846592e-05,
|
| 1139 |
+
"loss": 0.0057,
|
| 1140 |
+
"step": 1580
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 0.40458015267175573,
|
| 1144 |
+
"grad_norm": 0.8014967441558838,
|
| 1145 |
+
"learning_rate": 2.9737338264005385e-05,
|
| 1146 |
+
"loss": 0.0095,
|
| 1147 |
+
"step": 1590
|
| 1148 |
+
},
|
| 1149 |
+
{
|
| 1150 |
+
"epoch": 0.4071246819338422,
|
| 1151 |
+
"grad_norm": 0.07906800508499146,
|
| 1152 |
+
"learning_rate": 2.9581790460032587e-05,
|
| 1153 |
+
"loss": 0.0054,
|
| 1154 |
+
"step": 1600
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 0.40966921119592875,
|
| 1158 |
+
"grad_norm": 0.002276728395372629,
|
| 1159 |
+
"learning_rate": 2.9425486740230468e-05,
|
| 1160 |
+
"loss": 0.0022,
|
| 1161 |
+
"step": 1610
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 0.4122137404580153,
|
| 1165 |
+
"grad_norm": 0.20961323380470276,
|
| 1166 |
+
"learning_rate": 2.9268439435536192e-05,
|
| 1167 |
+
"loss": 0.0022,
|
| 1168 |
+
"step": 1620
|
| 1169 |
+
},
|
| 1170 |
+
{
|
| 1171 |
+
"epoch": 0.41475826972010177,
|
| 1172 |
+
"grad_norm": 0.9150059223175049,
|
| 1173 |
+
"learning_rate": 2.9110660935548974e-05,
|
| 1174 |
+
"loss": 0.0049,
|
| 1175 |
+
"step": 1630
|
| 1176 |
+
},
|
| 1177 |
+
{
|
| 1178 |
+
"epoch": 0.4173027989821883,
|
| 1179 |
+
"grad_norm": 0.8031874895095825,
|
| 1180 |
+
"learning_rate": 2.895216368755266e-05,
|
| 1181 |
+
"loss": 0.0096,
|
| 1182 |
+
"step": 1640
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 0.4198473282442748,
|
| 1186 |
+
"grad_norm": 0.0009046970517374575,
|
| 1187 |
+
"learning_rate": 2.879296019553377e-05,
|
| 1188 |
+
"loss": 0.0035,
|
| 1189 |
+
"step": 1650
|
| 1190 |
+
},
|
| 1191 |
+
{
|
| 1192 |
+
"epoch": 0.4223918575063613,
|
| 1193 |
+
"grad_norm": 0.01483133528381586,
|
| 1194 |
+
"learning_rate": 2.863306301919502e-05,
|
| 1195 |
+
"loss": 0.0117,
|
| 1196 |
+
"step": 1660
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 0.42493638676844786,
|
| 1200 |
+
"grad_norm": 0.010586820542812347,
|
| 1201 |
+
"learning_rate": 2.8472484772964492e-05,
|
| 1202 |
+
"loss": 0.004,
|
| 1203 |
+
"step": 1670
|
| 1204 |
+
},
|
| 1205 |
+
{
|
| 1206 |
+
"epoch": 0.42748091603053434,
|
| 1207 |
+
"grad_norm": 0.04784689098596573,
|
| 1208 |
+
"learning_rate": 2.831123812500047e-05,
|
| 1209 |
+
"loss": 0.0061,
|
| 1210 |
+
"step": 1680
|
| 1211 |
+
},
|
| 1212 |
+
{
|
| 1213 |
+
"epoch": 0.4300254452926209,
|
| 1214 |
+
"grad_norm": 0.04434655234217644,
|
| 1215 |
+
"learning_rate": 2.814933579619202e-05,
|
| 1216 |
+
"loss": 0.0112,
|
| 1217 |
+
"step": 1690
|
| 1218 |
+
},
|
| 1219 |
+
{
|
| 1220 |
+
"epoch": 0.43256997455470736,
|
| 1221 |
+
"grad_norm": 0.19946888089179993,
|
| 1222 |
+
"learning_rate": 2.798679055915547e-05,
|
| 1223 |
+
"loss": 0.0071,
|
| 1224 |
+
"step": 1700
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 0.4351145038167939,
|
| 1228 |
+
"grad_norm": 0.7906013131141663,
|
| 1229 |
+
"learning_rate": 2.782361523722673e-05,
|
| 1230 |
+
"loss": 0.0105,
|
| 1231 |
+
"step": 1710
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 0.43765903307888043,
|
| 1235 |
+
"grad_norm": 0.0048066237941384315,
|
| 1236 |
+
"learning_rate": 2.765982270344964e-05,
|
| 1237 |
+
"loss": 0.0078,
|
| 1238 |
+
"step": 1720
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 0.4402035623409669,
|
| 1242 |
+
"grad_norm": 1.0384575128555298,
|
| 1243 |
+
"learning_rate": 2.749542587956045e-05,
|
| 1244 |
+
"loss": 0.0072,
|
| 1245 |
+
"step": 1730
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 0.44274809160305345,
|
| 1249 |
+
"grad_norm": 0.02533910423517227,
|
| 1250 |
+
"learning_rate": 2.733043773496836e-05,
|
| 1251 |
+
"loss": 0.0025,
|
| 1252 |
+
"step": 1740
|
| 1253 |
+
},
|
| 1254 |
+
{
|
| 1255 |
+
"epoch": 0.44529262086513993,
|
| 1256 |
+
"grad_norm": 0.5906015038490295,
|
| 1257 |
+
"learning_rate": 2.71648712857324e-05,
|
| 1258 |
+
"loss": 0.0073,
|
| 1259 |
+
"step": 1750
|
| 1260 |
+
},
|
| 1261 |
+
{
|
| 1262 |
+
"epoch": 0.44783715012722647,
|
| 1263 |
+
"grad_norm": 0.010286741890013218,
|
| 1264 |
+
"learning_rate": 2.699873959353455e-05,
|
| 1265 |
+
"loss": 0.0062,
|
| 1266 |
+
"step": 1760
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 0.45038167938931295,
|
| 1270 |
+
"grad_norm": 0.21346710622310638,
|
| 1271 |
+
"learning_rate": 2.6832055764649303e-05,
|
| 1272 |
+
"loss": 0.0074,
|
| 1273 |
+
"step": 1770
|
| 1274 |
+
},
|
| 1275 |
+
{
|
| 1276 |
+
"epoch": 0.4529262086513995,
|
| 1277 |
+
"grad_norm": 0.9286672472953796,
|
| 1278 |
+
"learning_rate": 2.6664832948909683e-05,
|
| 1279 |
+
"loss": 0.0168,
|
| 1280 |
+
"step": 1780
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 0.455470737913486,
|
| 1284 |
+
"grad_norm": 0.0417705737054348,
|
| 1285 |
+
"learning_rate": 2.6497084338669878e-05,
|
| 1286 |
+
"loss": 0.0073,
|
| 1287 |
+
"step": 1790
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 0.4580152671755725,
|
| 1291 |
+
"grad_norm": 0.5801283121109009,
|
| 1292 |
+
"learning_rate": 2.632882316776446e-05,
|
| 1293 |
+
"loss": 0.0075,
|
| 1294 |
+
"step": 1800
|
| 1295 |
+
},
|
| 1296 |
+
{
|
| 1297 |
+
"epoch": 0.46055979643765904,
|
| 1298 |
+
"grad_norm": 0.04292815923690796,
|
| 1299 |
+
"learning_rate": 2.6160062710464358e-05,
|
| 1300 |
+
"loss": 0.0081,
|
| 1301 |
+
"step": 1810
|
| 1302 |
+
},
|
| 1303 |
+
{
|
| 1304 |
+
"epoch": 0.4631043256997455,
|
| 1305 |
+
"grad_norm": 0.07908915728330612,
|
| 1306 |
+
"learning_rate": 2.5990816280429636e-05,
|
| 1307 |
+
"loss": 0.0048,
|
| 1308 |
+
"step": 1820
|
| 1309 |
+
},
|
| 1310 |
+
{
|
| 1311 |
+
"epoch": 0.46564885496183206,
|
| 1312 |
+
"grad_norm": 0.018311964347958565,
|
| 1313 |
+
"learning_rate": 2.582109722965918e-05,
|
| 1314 |
+
"loss": 0.0066,
|
| 1315 |
+
"step": 1830
|
| 1316 |
+
},
|
| 1317 |
+
{
|
| 1318 |
+
"epoch": 0.4681933842239186,
|
| 1319 |
+
"grad_norm": 0.011419360525906086,
|
| 1320 |
+
"learning_rate": 2.5650918947437334e-05,
|
| 1321 |
+
"loss": 0.0057,
|
| 1322 |
+
"step": 1840
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 0.4707379134860051,
|
| 1326 |
+
"grad_norm": 0.09492944926023483,
|
| 1327 |
+
"learning_rate": 2.548029485927762e-05,
|
| 1328 |
+
"loss": 0.0047,
|
| 1329 |
+
"step": 1850
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 0.4732824427480916,
|
| 1333 |
+
"grad_norm": 0.12797874212265015,
|
| 1334 |
+
"learning_rate": 2.5309238425863563e-05,
|
| 1335 |
+
"loss": 0.0186,
|
| 1336 |
+
"step": 1860
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 0.4758269720101781,
|
| 1340 |
+
"grad_norm": 0.002227840945124626,
|
| 1341 |
+
"learning_rate": 2.5137763141986805e-05,
|
| 1342 |
+
"loss": 0.008,
|
| 1343 |
+
"step": 1870
|
| 1344 |
+
},
|
| 1345 |
+
{
|
| 1346 |
+
"epoch": 0.47837150127226463,
|
| 1347 |
+
"grad_norm": 0.5795776844024658,
|
| 1348 |
+
"learning_rate": 2.4965882535482467e-05,
|
| 1349 |
+
"loss": 0.0038,
|
| 1350 |
+
"step": 1880
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 0.48091603053435117,
|
| 1354 |
+
"grad_norm": 1.1049985885620117,
|
| 1355 |
+
"learning_rate": 2.4793610166161894e-05,
|
| 1356 |
+
"loss": 0.0126,
|
| 1357 |
+
"step": 1890
|
| 1358 |
+
},
|
| 1359 |
+
{
|
| 1360 |
+
"epoch": 0.48346055979643765,
|
| 1361 |
+
"grad_norm": 0.28256818652153015,
|
| 1362 |
+
"learning_rate": 2.462095962474299e-05,
|
| 1363 |
+
"loss": 0.0082,
|
| 1364 |
+
"step": 1900
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 0.4860050890585242,
|
| 1368 |
+
"grad_norm": 0.07155128568410873,
|
| 1369 |
+
"learning_rate": 2.444794453177794e-05,
|
| 1370 |
+
"loss": 0.0067,
|
| 1371 |
+
"step": 1910
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 0.48854961832061067,
|
| 1375 |
+
"grad_norm": 0.34032803773880005,
|
| 1376 |
+
"learning_rate": 2.4274578536578753e-05,
|
| 1377 |
+
"loss": 0.003,
|
| 1378 |
+
"step": 1920
|
| 1379 |
+
},
|
| 1380 |
+
{
|
| 1381 |
+
"epoch": 0.4910941475826972,
|
| 1382 |
+
"grad_norm": 0.895849347114563,
|
| 1383 |
+
"learning_rate": 2.4100875316140414e-05,
|
| 1384 |
+
"loss": 0.0089,
|
| 1385 |
+
"step": 1930
|
| 1386 |
+
},
|
| 1387 |
+
{
|
| 1388 |
+
"epoch": 0.49363867684478374,
|
| 1389 |
+
"grad_norm": 0.35382983088493347,
|
| 1390 |
+
"learning_rate": 2.392684857406189e-05,
|
| 1391 |
+
"loss": 0.0039,
|
| 1392 |
+
"step": 1940
|
| 1393 |
+
},
|
| 1394 |
+
{
|
| 1395 |
+
"epoch": 0.4961832061068702,
|
| 1396 |
+
"grad_norm": 0.008587539196014404,
|
| 1397 |
+
"learning_rate": 2.3752512039465067e-05,
|
| 1398 |
+
"loss": 0.0076,
|
| 1399 |
+
"step": 1950
|
| 1400 |
+
},
|
| 1401 |
+
{
|
| 1402 |
+
"epoch": 0.49872773536895676,
|
| 1403 |
+
"grad_norm": 0.18419568240642548,
|
| 1404 |
+
"learning_rate": 2.357787946591162e-05,
|
| 1405 |
+
"loss": 0.004,
|
| 1406 |
+
"step": 1960
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 0.5012722646310432,
|
| 1410 |
+
"grad_norm": 0.9502720236778259,
|
| 1411 |
+
"learning_rate": 2.340296463031802e-05,
|
| 1412 |
+
"loss": 0.0063,
|
| 1413 |
+
"step": 1970
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 0.5038167938931297,
|
| 1417 |
+
"grad_norm": 0.3090348541736603,
|
| 1418 |
+
"learning_rate": 2.3227781331868603e-05,
|
| 1419 |
+
"loss": 0.0077,
|
| 1420 |
+
"step": 1980
|
| 1421 |
+
},
|
| 1422 |
+
{
|
| 1423 |
+
"epoch": 0.5063613231552163,
|
| 1424 |
+
"grad_norm": 0.10845889896154404,
|
| 1425 |
+
"learning_rate": 2.3052343390927014e-05,
|
| 1426 |
+
"loss": 0.0034,
|
| 1427 |
+
"step": 1990
|
| 1428 |
+
},
|
| 1429 |
+
{
|
| 1430 |
+
"epoch": 0.5089058524173028,
|
| 1431 |
+
"grad_norm": 0.21176917850971222,
|
| 1432 |
+
"learning_rate": 2.2876664647945828e-05,
|
| 1433 |
+
"loss": 0.0021,
|
| 1434 |
+
"step": 2000
|
| 1435 |
+
},
|
| 1436 |
+
{
|
| 1437 |
+
"epoch": 0.5089058524173028,
|
| 1438 |
+
"eval_loss": 0.02815035916864872,
|
| 1439 |
+
"eval_runtime": 133.7333,
|
| 1440 |
+
"eval_samples_per_second": 59.686,
|
| 1441 |
+
"eval_steps_per_second": 0.471,
|
| 1442 |
+
"step": 2000
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 0.5114503816793893,
|
| 1446 |
+
"grad_norm": 0.004121641628444195,
|
| 1447 |
+
"learning_rate": 2.270075896237473e-05,
|
| 1448 |
+
"loss": 0.0121,
|
| 1449 |
+
"step": 2010
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 0.5139949109414759,
|
| 1453 |
+
"grad_norm": 0.20978771150112152,
|
| 1454 |
+
"learning_rate": 2.2524640211567096e-05,
|
| 1455 |
+
"loss": 0.0068,
|
| 1456 |
+
"step": 2020
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 0.5165394402035624,
|
| 1460 |
+
"grad_norm": 0.08966998010873795,
|
| 1461 |
+
"learning_rate": 2.23483222896852e-05,
|
| 1462 |
+
"loss": 0.0067,
|
| 1463 |
+
"step": 2030
|
| 1464 |
+
},
|
| 1465 |
+
{
|
| 1466 |
+
"epoch": 0.5190839694656488,
|
| 1467 |
+
"grad_norm": 0.5660188794136047,
|
| 1468 |
+
"learning_rate": 2.2171819106604116e-05,
|
| 1469 |
+
"loss": 0.0092,
|
| 1470 |
+
"step": 2040
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 0.5216284987277354,
|
| 1474 |
+
"grad_norm": 0.31475406885147095,
|
| 1475 |
+
"learning_rate": 2.19951445868143e-05,
|
| 1476 |
+
"loss": 0.0102,
|
| 1477 |
+
"step": 2050
|
| 1478 |
+
},
|
| 1479 |
+
{
|
| 1480 |
+
"epoch": 0.5241730279898219,
|
| 1481 |
+
"grad_norm": 1.0153944492340088,
|
| 1482 |
+
"learning_rate": 2.1818312668323148e-05,
|
| 1483 |
+
"loss": 0.0079,
|
| 1484 |
+
"step": 2060
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 0.5267175572519084,
|
| 1488 |
+
"grad_norm": 0.29397323727607727,
|
| 1489 |
+
"learning_rate": 2.164133730155535e-05,
|
| 1490 |
+
"loss": 0.0113,
|
| 1491 |
+
"step": 2070
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 0.5292620865139949,
|
| 1495 |
+
"grad_norm": 0.5682544708251953,
|
| 1496 |
+
"learning_rate": 2.1464232448252375e-05,
|
| 1497 |
+
"loss": 0.0145,
|
| 1498 |
+
"step": 2080
|
| 1499 |
+
},
|
| 1500 |
+
{
|
| 1501 |
+
"epoch": 0.5318066157760815,
|
| 1502 |
+
"grad_norm": 0.04650561138987541,
|
| 1503 |
+
"learning_rate": 2.1287012080370983e-05,
|
| 1504 |
+
"loss": 0.0097,
|
| 1505 |
+
"step": 2090
|
| 1506 |
+
},
|
| 1507 |
+
{
|
| 1508 |
+
"epoch": 0.5343511450381679,
|
| 1509 |
+
"grad_norm": 1.0168547630310059,
|
| 1510 |
+
"learning_rate": 2.1109690178981e-05,
|
| 1511 |
+
"loss": 0.0124,
|
| 1512 |
+
"step": 2100
|
| 1513 |
+
},
|
| 1514 |
+
{
|
| 1515 |
+
"epoch": 0.5368956743002544,
|
| 1516 |
+
"grad_norm": 0.03857378661632538,
|
| 1517 |
+
"learning_rate": 2.0932280733162295e-05,
|
| 1518 |
+
"loss": 0.0089,
|
| 1519 |
+
"step": 2110
|
| 1520 |
+
},
|
| 1521 |
+
{
|
| 1522 |
+
"epoch": 0.539440203562341,
|
| 1523 |
+
"grad_norm": 0.19307008385658264,
|
| 1524 |
+
"learning_rate": 2.075479773890121e-05,
|
| 1525 |
+
"loss": 0.0081,
|
| 1526 |
+
"step": 2120
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 0.5419847328244275,
|
| 1530 |
+
"grad_norm": 0.019642319530248642,
|
| 1531 |
+
"learning_rate": 2.0577255197986376e-05,
|
| 1532 |
+
"loss": 0.0065,
|
| 1533 |
+
"step": 2130
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 0.544529262086514,
|
| 1537 |
+
"grad_norm": 0.004625818692147732,
|
| 1538 |
+
"learning_rate": 2.0399667116904127e-05,
|
| 1539 |
+
"loss": 0.0112,
|
| 1540 |
+
"step": 2140
|
| 1541 |
+
},
|
| 1542 |
+
{
|
| 1543 |
+
"epoch": 0.5470737913486005,
|
| 1544 |
+
"grad_norm": 0.14354604482650757,
|
| 1545 |
+
"learning_rate": 2.02220475057335e-05,
|
| 1546 |
+
"loss": 0.0076,
|
| 1547 |
+
"step": 2150
|
| 1548 |
+
},
|
| 1549 |
+
{
|
| 1550 |
+
"epoch": 0.549618320610687,
|
| 1551 |
+
"grad_norm": 0.49231237173080444,
|
| 1552 |
+
"learning_rate": 2.0044410377040936e-05,
|
| 1553 |
+
"loss": 0.0053,
|
| 1554 |
+
"step": 2160
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 0.5521628498727735,
|
| 1558 |
+
"grad_norm": 0.14192111790180206,
|
| 1559 |
+
"learning_rate": 1.986676974477489e-05,
|
| 1560 |
+
"loss": 0.0045,
|
| 1561 |
+
"step": 2170
|
| 1562 |
+
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 0.55470737913486,
|
| 1565 |
+
"grad_norm": 0.6347026824951172,
|
| 1566 |
+
"learning_rate": 1.9689139623160202e-05,
|
| 1567 |
+
"loss": 0.0069,
|
| 1568 |
+
"step": 2180
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 0.5572519083969466,
|
| 1572 |
+
"grad_norm": 0.018128741532564163,
|
| 1573 |
+
"learning_rate": 1.951153402559251e-05,
|
| 1574 |
+
"loss": 0.0054,
|
| 1575 |
+
"step": 2190
|
| 1576 |
+
},
|
| 1577 |
+
{
|
| 1578 |
+
"epoch": 0.5597964376590331,
|
| 1579 |
+
"grad_norm": 0.001998672727495432,
|
| 1580 |
+
"learning_rate": 1.9333966963532732e-05,
|
| 1581 |
+
"loss": 0.0138,
|
| 1582 |
+
"step": 2200
|
| 1583 |
+
},
|
| 1584 |
+
{
|
| 1585 |
+
"epoch": 0.5623409669211196,
|
| 1586 |
+
"grad_norm": 0.9514873027801514,
|
| 1587 |
+
"learning_rate": 1.915645244540169e-05,
|
| 1588 |
+
"loss": 0.0054,
|
| 1589 |
+
"step": 2210
|
| 1590 |
+
},
|
| 1591 |
+
{
|
| 1592 |
+
"epoch": 0.5648854961832062,
|
| 1593 |
+
"grad_norm": 0.5977467894554138,
|
| 1594 |
+
"learning_rate": 1.8979004475474986e-05,
|
| 1595 |
+
"loss": 0.0085,
|
| 1596 |
+
"step": 2220
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 0.5674300254452926,
|
| 1600 |
+
"grad_norm": 1.0552051067352295,
|
| 1601 |
+
"learning_rate": 1.8801637052778126e-05,
|
| 1602 |
+
"loss": 0.0134,
|
| 1603 |
+
"step": 2230
|
| 1604 |
+
},
|
| 1605 |
+
{
|
| 1606 |
+
"epoch": 0.5699745547073791,
|
| 1607 |
+
"grad_norm": 0.11271902173757553,
|
| 1608 |
+
"learning_rate": 1.8624364169982222e-05,
|
| 1609 |
+
"loss": 0.0026,
|
| 1610 |
+
"step": 2240
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 0.5725190839694656,
|
| 1614 |
+
"grad_norm": 0.5297022461891174,
|
| 1615 |
+
"learning_rate": 1.8447199812300035e-05,
|
| 1616 |
+
"loss": 0.0127,
|
| 1617 |
+
"step": 2250
|
| 1618 |
+
},
|
| 1619 |
+
{
|
| 1620 |
+
"epoch": 0.5750636132315522,
|
| 1621 |
+
"grad_norm": 0.020312553271651268,
|
| 1622 |
+
"learning_rate": 1.827015795638268e-05,
|
| 1623 |
+
"loss": 0.0052,
|
| 1624 |
+
"step": 2260
|
| 1625 |
+
},
|
| 1626 |
+
{
|
| 1627 |
+
"epoch": 0.5776081424936387,
|
| 1628 |
+
"grad_norm": 0.08366118371486664,
|
| 1629 |
+
"learning_rate": 1.8093252569217024e-05,
|
| 1630 |
+
"loss": 0.0069,
|
| 1631 |
+
"step": 2270
|
| 1632 |
+
},
|
| 1633 |
+
{
|
| 1634 |
+
"epoch": 0.5801526717557252,
|
| 1635 |
+
"grad_norm": 0.4521699547767639,
|
| 1636 |
+
"learning_rate": 1.7916497607023748e-05,
|
| 1637 |
+
"loss": 0.0087,
|
| 1638 |
+
"step": 2280
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"epoch": 0.5826972010178118,
|
| 1642 |
+
"grad_norm": 0.7305375337600708,
|
| 1643 |
+
"learning_rate": 1.773990701415642e-05,
|
| 1644 |
+
"loss": 0.0069,
|
| 1645 |
+
"step": 2290
|
| 1646 |
+
},
|
| 1647 |
+
{
|
| 1648 |
+
"epoch": 0.5852417302798982,
|
| 1649 |
+
"grad_norm": 0.010020128451287746,
|
| 1650 |
+
"learning_rate": 1.7563494722001346e-05,
|
| 1651 |
+
"loss": 0.0004,
|
| 1652 |
+
"step": 2300
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 0.5877862595419847,
|
| 1656 |
+
"grad_norm": 0.5025947690010071,
|
| 1657 |
+
"learning_rate": 1.7387274647878548e-05,
|
| 1658 |
+
"loss": 0.0025,
|
| 1659 |
+
"step": 2310
|
| 1660 |
+
},
|
| 1661 |
+
{
|
| 1662 |
+
"epoch": 0.5903307888040712,
|
| 1663 |
+
"grad_norm": 0.018908394500613213,
|
| 1664 |
+
"learning_rate": 1.7211260693943776e-05,
|
| 1665 |
+
"loss": 0.0098,
|
| 1666 |
+
"step": 2320
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 0.5928753180661578,
|
| 1670 |
+
"grad_norm": 0.15446458756923676,
|
| 1671 |
+
"learning_rate": 1.70354667460918e-05,
|
| 1672 |
+
"loss": 0.0046,
|
| 1673 |
+
"step": 2330
|
| 1674 |
+
},
|
| 1675 |
+
{
|
| 1676 |
+
"epoch": 0.5954198473282443,
|
| 1677 |
+
"grad_norm": 0.034609969705343246,
|
| 1678 |
+
"learning_rate": 1.6859906672860907e-05,
|
| 1679 |
+
"loss": 0.0045,
|
| 1680 |
+
"step": 2340
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 0.5979643765903307,
|
| 1684 |
+
"grad_norm": 0.004402685910463333,
|
| 1685 |
+
"learning_rate": 1.668459432433883e-05,
|
| 1686 |
+
"loss": 0.0097,
|
| 1687 |
+
"step": 2350
|
| 1688 |
+
},
|
| 1689 |
+
{
|
| 1690 |
+
"epoch": 0.6005089058524173,
|
| 1691 |
+
"grad_norm": 0.3562290668487549,
|
| 1692 |
+
"learning_rate": 1.6509543531070033e-05,
|
| 1693 |
+
"loss": 0.0025,
|
| 1694 |
+
"step": 2360
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 0.6030534351145038,
|
| 1698 |
+
"grad_norm": 0.3566463887691498,
|
| 1699 |
+
"learning_rate": 1.6334768102964712e-05,
|
| 1700 |
+
"loss": 0.0055,
|
| 1701 |
+
"step": 2370
|
| 1702 |
+
},
|
| 1703 |
+
{
|
| 1704 |
+
"epoch": 0.6055979643765903,
|
| 1705 |
+
"grad_norm": 0.009985647164285183,
|
| 1706 |
+
"learning_rate": 1.6160281828209242e-05,
|
| 1707 |
+
"loss": 0.0078,
|
| 1708 |
+
"step": 2380
|
| 1709 |
+
},
|
| 1710 |
+
{
|
| 1711 |
+
"epoch": 0.6081424936386769,
|
| 1712 |
+
"grad_norm": 0.2736257314682007,
|
| 1713 |
+
"learning_rate": 1.598609847217844e-05,
|
| 1714 |
+
"loss": 0.0069,
|
| 1715 |
+
"step": 2390
|
| 1716 |
+
},
|
| 1717 |
+
{
|
| 1718 |
+
"epoch": 0.6106870229007634,
|
| 1719 |
+
"grad_norm": 0.2979015111923218,
|
| 1720 |
+
"learning_rate": 1.5812231776349592e-05,
|
| 1721 |
+
"loss": 0.0132,
|
| 1722 |
+
"step": 2400
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 0.6132315521628499,
|
| 1726 |
+
"grad_norm": 0.1491338014602661,
|
| 1727 |
+
"learning_rate": 1.563869545721839e-05,
|
| 1728 |
+
"loss": 0.0055,
|
| 1729 |
+
"step": 2410
|
| 1730 |
+
},
|
| 1731 |
+
{
|
| 1732 |
+
"epoch": 0.6157760814249363,
|
| 1733 |
+
"grad_norm": 0.9699238538742065,
|
| 1734 |
+
"learning_rate": 1.5465503205216823e-05,
|
| 1735 |
+
"loss": 0.0145,
|
| 1736 |
+
"step": 2420
|
| 1737 |
+
},
|
| 1738 |
+
{
|
| 1739 |
+
"epoch": 0.6183206106870229,
|
| 1740 |
+
"grad_norm": 0.0399494431912899,
|
| 1741 |
+
"learning_rate": 1.529266868363312e-05,
|
| 1742 |
+
"loss": 0.0033,
|
| 1743 |
+
"step": 2430
|
| 1744 |
+
},
|
| 1745 |
+
{
|
| 1746 |
+
"epoch": 0.6208651399491094,
|
| 1747 |
+
"grad_norm": 0.006228512153029442,
|
| 1748 |
+
"learning_rate": 1.512020552753385e-05,
|
| 1749 |
+
"loss": 0.0078,
|
| 1750 |
+
"step": 2440
|
| 1751 |
+
},
|
| 1752 |
+
{
|
| 1753 |
+
"epoch": 0.6234096692111959,
|
| 1754 |
+
"grad_norm": 0.07657211273908615,
|
| 1755 |
+
"learning_rate": 1.494812734268821e-05,
|
| 1756 |
+
"loss": 0.0046,
|
| 1757 |
+
"step": 2450
|
| 1758 |
+
},
|
| 1759 |
+
{
|
| 1760 |
+
"epoch": 0.6259541984732825,
|
| 1761 |
+
"grad_norm": 0.6475840210914612,
|
| 1762 |
+
"learning_rate": 1.4776447704494712e-05,
|
| 1763 |
+
"loss": 0.0135,
|
| 1764 |
+
"step": 2460
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 0.628498727735369,
|
| 1768 |
+
"grad_norm": 0.3849855363368988,
|
| 1769 |
+
"learning_rate": 1.4605180156910152e-05,
|
| 1770 |
+
"loss": 0.0034,
|
| 1771 |
+
"step": 2470
|
| 1772 |
+
},
|
| 1773 |
+
{
|
| 1774 |
+
"epoch": 0.6310432569974554,
|
| 1775 |
+
"grad_norm": 0.34721097350120544,
|
| 1776 |
+
"learning_rate": 1.4434338211381147e-05,
|
| 1777 |
+
"loss": 0.0174,
|
| 1778 |
+
"step": 2480
|
| 1779 |
+
},
|
| 1780 |
+
{
|
| 1781 |
+
"epoch": 0.6335877862595419,
|
| 1782 |
+
"grad_norm": 0.014903980307281017,
|
| 1783 |
+
"learning_rate": 1.4263935345778202e-05,
|
| 1784 |
+
"loss": 0.0103,
|
| 1785 |
+
"step": 2490
|
| 1786 |
+
},
|
| 1787 |
+
{
|
| 1788 |
+
"epoch": 0.6361323155216285,
|
| 1789 |
+
"grad_norm": 0.5109342336654663,
|
| 1790 |
+
"learning_rate": 1.4093985003332392e-05,
|
| 1791 |
+
"loss": 0.0047,
|
| 1792 |
+
"step": 2500
|
| 1793 |
+
},
|
| 1794 |
+
{
|
| 1795 |
+
"epoch": 0.6361323155216285,
|
| 1796 |
+
"eval_loss": 0.02740573324263096,
|
| 1797 |
+
"eval_runtime": 133.7308,
|
| 1798 |
+
"eval_samples_per_second": 59.687,
|
| 1799 |
+
"eval_steps_per_second": 0.471,
|
| 1800 |
+
"step": 2500
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"epoch": 0.638676844783715,
|
| 1804 |
+
"grad_norm": 0.7563912868499756,
|
| 1805 |
+
"learning_rate": 1.3924500591574877e-05,
|
| 1806 |
+
"loss": 0.0128,
|
| 1807 |
+
"step": 2510
|
| 1808 |
+
},
|
| 1809 |
+
{
|
| 1810 |
+
"epoch": 0.6412213740458015,
|
| 1811 |
+
"grad_norm": 0.44928303360939026,
|
| 1812 |
+
"learning_rate": 1.3755495481279123e-05,
|
| 1813 |
+
"loss": 0.0064,
|
| 1814 |
+
"step": 2520
|
| 1815 |
+
},
|
| 1816 |
+
{
|
| 1817 |
+
"epoch": 0.6437659033078881,
|
| 1818 |
+
"grad_norm": 0.36973387002944946,
|
| 1819 |
+
"learning_rate": 1.3586983005406099e-05,
|
| 1820 |
+
"loss": 0.0077,
|
| 1821 |
+
"step": 2530
|
| 1822 |
+
},
|
| 1823 |
+
{
|
| 1824 |
+
"epoch": 0.6463104325699746,
|
| 1825 |
+
"grad_norm": 0.005694545339792967,
|
| 1826 |
+
"learning_rate": 1.3418976458052386e-05,
|
| 1827 |
+
"loss": 0.0066,
|
| 1828 |
+
"step": 2540
|
| 1829 |
+
},
|
| 1830 |
+
{
|
| 1831 |
+
"epoch": 0.648854961832061,
|
| 1832 |
+
"grad_norm": 0.6358749866485596,
|
| 1833 |
+
"learning_rate": 1.3251489093401446e-05,
|
| 1834 |
+
"loss": 0.0094,
|
| 1835 |
+
"step": 2550
|
| 1836 |
+
},
|
| 1837 |
+
{
|
| 1838 |
+
"epoch": 0.6513994910941476,
|
| 1839 |
+
"grad_norm": 0.5054055452346802,
|
| 1840 |
+
"learning_rate": 1.3084534124677952e-05,
|
| 1841 |
+
"loss": 0.0243,
|
| 1842 |
+
"step": 2560
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 0.6539440203562341,
|
| 1846 |
+
"grad_norm": 0.3651795983314514,
|
| 1847 |
+
"learning_rate": 1.2918124723105412e-05,
|
| 1848 |
+
"loss": 0.0105,
|
| 1849 |
+
"step": 2570
|
| 1850 |
+
},
|
| 1851 |
+
{
|
| 1852 |
+
"epoch": 0.6564885496183206,
|
| 1853 |
+
"grad_norm": 0.0396353080868721,
|
| 1854 |
+
"learning_rate": 1.2752274016867035e-05,
|
| 1855 |
+
"loss": 0.0114,
|
| 1856 |
+
"step": 2580
|
| 1857 |
+
},
|
| 1858 |
+
{
|
| 1859 |
+
"epoch": 0.6590330788804071,
|
| 1860 |
+
"grad_norm": 0.5447914600372314,
|
| 1861 |
+
"learning_rate": 1.2586995090070092e-05,
|
| 1862 |
+
"loss": 0.0141,
|
| 1863 |
+
"step": 2590
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 0.6615776081424937,
|
| 1867 |
+
"grad_norm": 0.026899831369519234,
|
| 1868 |
+
"learning_rate": 1.242230098171366e-05,
|
| 1869 |
+
"loss": 0.0037,
|
| 1870 |
+
"step": 2600
|
| 1871 |
+
},
|
| 1872 |
+
{
|
| 1873 |
+
"epoch": 0.6641221374045801,
|
| 1874 |
+
"grad_norm": 0.020927568897604942,
|
| 1875 |
+
"learning_rate": 1.225820468465999e-05,
|
| 1876 |
+
"loss": 0.0101,
|
| 1877 |
+
"step": 2610
|
| 1878 |
+
},
|
| 1879 |
+
{
|
| 1880 |
+
"epoch": 0.6666666666666666,
|
| 1881 |
+
"grad_norm": 0.02412482537329197,
|
| 1882 |
+
"learning_rate": 1.2094719144609473e-05,
|
| 1883 |
+
"loss": 0.0039,
|
| 1884 |
+
"step": 2620
|
| 1885 |
+
},
|
| 1886 |
+
{
|
| 1887 |
+
"epoch": 0.6692111959287532,
|
| 1888 |
+
"grad_norm": 0.03802138566970825,
|
| 1889 |
+
"learning_rate": 1.1931857259079334e-05,
|
| 1890 |
+
"loss": 0.0032,
|
| 1891 |
+
"step": 2630
|
| 1892 |
+
},
|
| 1893 |
+
{
|
| 1894 |
+
"epoch": 0.6717557251908397,
|
| 1895 |
+
"grad_norm": 0.12911300361156464,
|
| 1896 |
+
"learning_rate": 1.1769631876386159e-05,
|
| 1897 |
+
"loss": 0.0056,
|
| 1898 |
+
"step": 2640
|
| 1899 |
+
},
|
| 1900 |
+
{
|
| 1901 |
+
"epoch": 0.6743002544529262,
|
| 1902 |
+
"grad_norm": 0.01124558411538601,
|
| 1903 |
+
"learning_rate": 1.1608055794632267e-05,
|
| 1904 |
+
"loss": 0.0038,
|
| 1905 |
+
"step": 2650
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 0.6768447837150128,
|
| 1909 |
+
"grad_norm": 0.5214726328849792,
|
| 1910 |
+
"learning_rate": 1.1447141760696066e-05,
|
| 1911 |
+
"loss": 0.0031,
|
| 1912 |
+
"step": 2660
|
| 1913 |
+
},
|
| 1914 |
+
{
|
| 1915 |
+
"epoch": 0.6793893129770993,
|
| 1916 |
+
"grad_norm": 0.5948135256767273,
|
| 1917 |
+
"learning_rate": 1.1286902469226399e-05,
|
| 1918 |
+
"loss": 0.0119,
|
| 1919 |
+
"step": 2670
|
| 1920 |
+
},
|
| 1921 |
+
{
|
| 1922 |
+
"epoch": 0.6819338422391857,
|
| 1923 |
+
"grad_norm": 0.758345901966095,
|
| 1924 |
+
"learning_rate": 1.1127350561641133e-05,
|
| 1925 |
+
"loss": 0.0237,
|
| 1926 |
+
"step": 2680
|
| 1927 |
+
},
|
| 1928 |
+
{
|
| 1929 |
+
"epoch": 0.6844783715012722,
|
| 1930 |
+
"grad_norm": 0.4880719780921936,
|
| 1931 |
+
"learning_rate": 1.0968498625129778e-05,
|
| 1932 |
+
"loss": 0.0145,
|
| 1933 |
+
"step": 2690
|
| 1934 |
+
},
|
| 1935 |
+
{
|
| 1936 |
+
"epoch": 0.6870229007633588,
|
| 1937 |
+
"grad_norm": 1.0610564947128296,
|
| 1938 |
+
"learning_rate": 1.0810359191660549e-05,
|
| 1939 |
+
"loss": 0.0071,
|
| 1940 |
+
"step": 2700
|
| 1941 |
+
},
|
| 1942 |
+
{
|
| 1943 |
+
"epoch": 0.6895674300254453,
|
| 1944 |
+
"grad_norm": 1.2122572660446167,
|
| 1945 |
+
"learning_rate": 1.0652944736991651e-05,
|
| 1946 |
+
"loss": 0.008,
|
| 1947 |
+
"step": 2710
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 0.6921119592875318,
|
| 1951 |
+
"grad_norm": 0.020326990634202957,
|
| 1952 |
+
"learning_rate": 1.0496267679687072e-05,
|
| 1953 |
+
"loss": 0.0093,
|
| 1954 |
+
"step": 2720
|
| 1955 |
+
},
|
| 1956 |
+
{
|
| 1957 |
+
"epoch": 0.6946564885496184,
|
| 1958 |
+
"grad_norm": 0.14316847920417786,
|
| 1959 |
+
"learning_rate": 1.0340340380136902e-05,
|
| 1960 |
+
"loss": 0.0093,
|
| 1961 |
+
"step": 2730
|
| 1962 |
+
},
|
| 1963 |
+
{
|
| 1964 |
+
"epoch": 0.6972010178117048,
|
| 1965 |
+
"grad_norm": 0.04558219015598297,
|
| 1966 |
+
"learning_rate": 1.0185175139582158e-05,
|
| 1967 |
+
"loss": 0.0109,
|
| 1968 |
+
"step": 2740
|
| 1969 |
+
},
|
| 1970 |
+
{
|
| 1971 |
+
"epoch": 0.6997455470737913,
|
| 1972 |
+
"grad_norm": 0.23249498009681702,
|
| 1973 |
+
"learning_rate": 1.0030784199144392e-05,
|
| 1974 |
+
"loss": 0.0045,
|
| 1975 |
+
"step": 2750
|
| 1976 |
+
},
|
| 1977 |
+
{
|
| 1978 |
+
"epoch": 0.7022900763358778,
|
| 1979 |
+
"grad_norm": 0.3583734929561615,
|
| 1980 |
+
"learning_rate": 9.87717973885989e-06,
|
| 1981 |
+
"loss": 0.0054,
|
| 1982 |
+
"step": 2760
|
| 1983 |
+
},
|
| 1984 |
+
{
|
| 1985 |
+
"epoch": 0.7048346055979644,
|
| 1986 |
+
"grad_norm": 0.11210685968399048,
|
| 1987 |
+
"learning_rate": 9.724373876718883e-06,
|
| 1988 |
+
"loss": 0.0043,
|
| 1989 |
+
"step": 2770
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 0.7073791348600509,
|
| 1993 |
+
"grad_norm": 0.01814516820013523,
|
| 1994 |
+
"learning_rate": 9.57237866770946e-06,
|
| 1995 |
+
"loss": 0.0009,
|
| 1996 |
+
"step": 2780
|
| 1997 |
+
},
|
| 1998 |
+
{
|
| 1999 |
+
"epoch": 0.7099236641221374,
|
| 2000 |
+
"grad_norm": 0.006733593996614218,
|
| 2001 |
+
"learning_rate": 9.421206102866607e-06,
|
| 2002 |
+
"loss": 0.0031,
|
| 2003 |
+
"step": 2790
|
| 2004 |
+
},
|
| 2005 |
+
{
|
| 2006 |
+
"epoch": 0.712468193384224,
|
| 2007 |
+
"grad_norm": 0.4309634268283844,
|
| 2008 |
+
"learning_rate": 9.270868108326165e-06,
|
| 2009 |
+
"loss": 0.006,
|
| 2010 |
+
"step": 2800
|
| 2011 |
+
},
|
| 2012 |
+
{
|
| 2013 |
+
"epoch": 0.7150127226463104,
|
| 2014 |
+
"grad_norm": 0.012299240566790104,
|
| 2015 |
+
"learning_rate": 9.121376544383997e-06,
|
| 2016 |
+
"loss": 0.0046,
|
| 2017 |
+
"step": 2810
|
| 2018 |
+
},
|
| 2019 |
+
{
|
| 2020 |
+
"epoch": 0.7175572519083969,
|
| 2021 |
+
"grad_norm": 0.6214791536331177,
|
| 2022 |
+
"learning_rate": 8.972743204560336e-06,
|
| 2023 |
+
"loss": 0.0059,
|
| 2024 |
+
"step": 2820
|
| 2025 |
+
},
|
| 2026 |
+
{
|
| 2027 |
+
"epoch": 0.7201017811704835,
|
| 2028 |
+
"grad_norm": 0.040134139358997345,
|
| 2029 |
+
"learning_rate": 8.824979814669338e-06,
|
| 2030 |
+
"loss": 0.0017,
|
| 2031 |
+
"step": 2830
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 0.72264631043257,
|
| 2035 |
+
"grad_norm": 0.016287870705127716,
|
| 2036 |
+
"learning_rate": 8.678098031894084e-06,
|
| 2037 |
+
"loss": 0.0145,
|
| 2038 |
+
"step": 2840
|
| 2039 |
+
},
|
| 2040 |
+
{
|
| 2041 |
+
"epoch": 0.7251908396946565,
|
| 2042 |
+
"grad_norm": 0.0034363416489213705,
|
| 2043 |
+
"learning_rate": 8.532109443866842e-06,
|
| 2044 |
+
"loss": 0.0043,
|
| 2045 |
+
"step": 2850
|
| 2046 |
+
},
|
| 2047 |
+
{
|
| 2048 |
+
"epoch": 0.727735368956743,
|
| 2049 |
+
"grad_norm": 1.205487847328186,
|
| 2050 |
+
"learning_rate": 8.387025567755025e-06,
|
| 2051 |
+
"loss": 0.0159,
|
| 2052 |
+
"step": 2860
|
| 2053 |
+
},
|
| 2054 |
+
{
|
| 2055 |
+
"epoch": 0.7302798982188295,
|
| 2056 |
+
"grad_norm": 0.3689323961734772,
|
| 2057 |
+
"learning_rate": 8.242857849352485e-06,
|
| 2058 |
+
"loss": 0.0013,
|
| 2059 |
+
"step": 2870
|
| 2060 |
+
},
|
| 2061 |
+
{
|
| 2062 |
+
"epoch": 0.732824427480916,
|
| 2063 |
+
"grad_norm": 0.8855701088905334,
|
| 2064 |
+
"learning_rate": 8.099617662176635e-06,
|
| 2065 |
+
"loss": 0.0039,
|
| 2066 |
+
"step": 2880
|
| 2067 |
+
},
|
| 2068 |
+
{
|
| 2069 |
+
"epoch": 0.7353689567430025,
|
| 2070 |
+
"grad_norm": 0.4180714190006256,
|
| 2071 |
+
"learning_rate": 7.957316306571088e-06,
|
| 2072 |
+
"loss": 0.0083,
|
| 2073 |
+
"step": 2890
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 0.7379134860050891,
|
| 2077 |
+
"grad_norm": 0.12500891089439392,
|
| 2078 |
+
"learning_rate": 7.815965008814259e-06,
|
| 2079 |
+
"loss": 0.0138,
|
| 2080 |
+
"step": 2900
|
| 2081 |
+
},
|
| 2082 |
+
{
|
| 2083 |
+
"epoch": 0.7404580152671756,
|
| 2084 |
+
"grad_norm": 0.01562979444861412,
|
| 2085 |
+
"learning_rate": 7.675574920233635e-06,
|
| 2086 |
+
"loss": 0.0148,
|
| 2087 |
+
"step": 2910
|
| 2088 |
+
},
|
| 2089 |
+
{
|
| 2090 |
+
"epoch": 0.7430025445292621,
|
| 2091 |
+
"grad_norm": 0.13513517379760742,
|
| 2092 |
+
"learning_rate": 7.536157116326099e-06,
|
| 2093 |
+
"loss": 0.0051,
|
| 2094 |
+
"step": 2920
|
| 2095 |
+
},
|
| 2096 |
+
{
|
| 2097 |
+
"epoch": 0.7455470737913485,
|
| 2098 |
+
"grad_norm": 0.04076473042368889,
|
| 2099 |
+
"learning_rate": 7.397722595884125e-06,
|
| 2100 |
+
"loss": 0.0019,
|
| 2101 |
+
"step": 2930
|
| 2102 |
+
},
|
| 2103 |
+
{
|
| 2104 |
+
"epoch": 0.7480916030534351,
|
| 2105 |
+
"grad_norm": 0.916067898273468,
|
| 2106 |
+
"learning_rate": 7.260282280128095e-06,
|
| 2107 |
+
"loss": 0.0074,
|
| 2108 |
+
"step": 2940
|
| 2109 |
+
},
|
| 2110 |
+
{
|
| 2111 |
+
"epoch": 0.7506361323155216,
|
| 2112 |
+
"grad_norm": 0.4426193833351135,
|
| 2113 |
+
"learning_rate": 7.123847011844731e-06,
|
| 2114 |
+
"loss": 0.0096,
|
| 2115 |
+
"step": 2950
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 0.7531806615776081,
|
| 2119 |
+
"grad_norm": 0.438926100730896,
|
| 2120 |
+
"learning_rate": 6.9884275545316585e-06,
|
| 2121 |
+
"loss": 0.0043,
|
| 2122 |
+
"step": 2960
|
| 2123 |
+
},
|
| 2124 |
+
{
|
| 2125 |
+
"epoch": 0.7557251908396947,
|
| 2126 |
+
"grad_norm": 0.557971179485321,
|
| 2127 |
+
"learning_rate": 6.854034591548317e-06,
|
| 2128 |
+
"loss": 0.0069,
|
| 2129 |
+
"step": 2970
|
| 2130 |
+
},
|
| 2131 |
+
{
|
| 2132 |
+
"epoch": 0.7582697201017812,
|
| 2133 |
+
"grad_norm": 0.32240545749664307,
|
| 2134 |
+
"learning_rate": 6.7206787252730645e-06,
|
| 2135 |
+
"loss": 0.0059,
|
| 2136 |
+
"step": 2980
|
| 2137 |
+
},
|
| 2138 |
+
{
|
| 2139 |
+
"epoch": 0.7608142493638677,
|
| 2140 |
+
"grad_norm": 0.055791277438402176,
|
| 2141 |
+
"learning_rate": 6.588370476266843e-06,
|
| 2142 |
+
"loss": 0.0024,
|
| 2143 |
+
"step": 2990
|
| 2144 |
+
},
|
| 2145 |
+
{
|
| 2146 |
+
"epoch": 0.7633587786259542,
|
| 2147 |
+
"grad_norm": 0.5123863816261292,
|
| 2148 |
+
"learning_rate": 6.457120282443114e-06,
|
| 2149 |
+
"loss": 0.0068,
|
| 2150 |
+
"step": 3000
|
| 2151 |
+
},
|
| 2152 |
+
{
|
| 2153 |
+
"epoch": 0.7633587786259542,
|
| 2154 |
+
"eval_loss": 0.027845503762364388,
|
| 2155 |
+
"eval_runtime": 133.7599,
|
| 2156 |
+
"eval_samples_per_second": 59.674,
|
| 2157 |
+
"eval_steps_per_second": 0.471,
|
| 2158 |
+
"step": 3000
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.7659033078880407,
|
| 2162 |
+
"grad_norm": 0.03756602481007576,
|
| 2163 |
+
"learning_rate": 6.326938498244468e-06,
|
| 2164 |
+
"loss": 0.0053,
|
| 2165 |
+
"step": 3010
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.7684478371501272,
|
| 2169 |
+
"grad_norm": 0.03396202623844147,
|
| 2170 |
+
"learning_rate": 6.197835393825708e-06,
|
| 2171 |
+
"loss": 0.0064,
|
| 2172 |
+
"step": 3020
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.7709923664122137,
|
| 2176 |
+
"grad_norm": 1.4201245307922363,
|
| 2177 |
+
"learning_rate": 6.0698211542436424e-06,
|
| 2178 |
+
"loss": 0.0083,
|
| 2179 |
+
"step": 3030
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.7735368956743003,
|
| 2183 |
+
"grad_norm": 0.3837715983390808,
|
| 2184 |
+
"learning_rate": 5.942905878653604e-06,
|
| 2185 |
+
"loss": 0.0051,
|
| 2186 |
+
"step": 3040
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.7760814249363868,
|
| 2190 |
+
"grad_norm": 0.052916280925273895,
|
| 2191 |
+
"learning_rate": 5.817099579512668e-06,
|
| 2192 |
+
"loss": 0.0022,
|
| 2193 |
+
"step": 3050
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.7786259541984732,
|
| 2197 |
+
"grad_norm": 0.7329851388931274,
|
| 2198 |
+
"learning_rate": 5.692412181789815e-06,
|
| 2199 |
+
"loss": 0.0085,
|
| 2200 |
+
"step": 3060
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 0.7811704834605598,
|
| 2204 |
+
"grad_norm": 0.03820681944489479,
|
| 2205 |
+
"learning_rate": 5.568853522182875e-06,
|
| 2206 |
+
"loss": 0.0191,
|
| 2207 |
+
"step": 3070
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 0.7837150127226463,
|
| 2211 |
+
"grad_norm": 0.3443916440010071,
|
| 2212 |
+
"learning_rate": 5.446433348342585e-06,
|
| 2213 |
+
"loss": 0.0042,
|
| 2214 |
+
"step": 3080
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 0.7862595419847328,
|
| 2218 |
+
"grad_norm": 0.02511523850262165,
|
| 2219 |
+
"learning_rate": 5.325161318103513e-06,
|
| 2220 |
+
"loss": 0.007,
|
| 2221 |
+
"step": 3090
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 0.7888040712468194,
|
| 2225 |
+
"grad_norm": 0.5352154970169067,
|
| 2226 |
+
"learning_rate": 5.205046998722199e-06,
|
| 2227 |
+
"loss": 0.0057,
|
| 2228 |
+
"step": 3100
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 0.7913486005089059,
|
| 2232 |
+
"grad_norm": 0.2795075476169586,
|
| 2233 |
+
"learning_rate": 5.086099866122327e-06,
|
| 2234 |
+
"loss": 0.0063,
|
| 2235 |
+
"step": 3110
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 0.7938931297709924,
|
| 2239 |
+
"grad_norm": 0.14706699550151825,
|
| 2240 |
+
"learning_rate": 4.968329304147228e-06,
|
| 2241 |
+
"loss": 0.0059,
|
| 2242 |
+
"step": 3120
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 0.7964376590330788,
|
| 2246 |
+
"grad_norm": 0.00364633253775537,
|
| 2247 |
+
"learning_rate": 4.851744603819528e-06,
|
| 2248 |
+
"loss": 0.0096,
|
| 2249 |
+
"step": 3130
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 0.7989821882951654,
|
| 2253 |
+
"grad_norm": 0.02350483275949955,
|
| 2254 |
+
"learning_rate": 4.736354962608207e-06,
|
| 2255 |
+
"loss": 0.0062,
|
| 2256 |
+
"step": 3140
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 0.8015267175572519,
|
| 2260 |
+
"grad_norm": 0.05492145195603371,
|
| 2261 |
+
"learning_rate": 4.6221694837029695e-06,
|
| 2262 |
+
"loss": 0.0057,
|
| 2263 |
+
"step": 3150
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 0.8040712468193384,
|
| 2267 |
+
"grad_norm": 0.6442669034004211,
|
| 2268 |
+
"learning_rate": 4.509197175296103e-06,
|
| 2269 |
+
"loss": 0.0153,
|
| 2270 |
+
"step": 3160
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 0.806615776081425,
|
| 2274 |
+
"grad_norm": 0.033058151602745056,
|
| 2275 |
+
"learning_rate": 4.397446949871833e-06,
|
| 2276 |
+
"loss": 0.0074,
|
| 2277 |
+
"step": 3170
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 0.8091603053435115,
|
| 2281 |
+
"grad_norm": 0.3905070722103119,
|
| 2282 |
+
"learning_rate": 4.286927623503163e-06,
|
| 2283 |
+
"loss": 0.0066,
|
| 2284 |
+
"step": 3180
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 0.811704834605598,
|
| 2288 |
+
"grad_norm": 0.03390408307313919,
|
| 2289 |
+
"learning_rate": 4.177647915156424e-06,
|
| 2290 |
+
"loss": 0.0126,
|
| 2291 |
+
"step": 3190
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 0.8142493638676844,
|
| 2295 |
+
"grad_norm": 0.9967504143714905,
|
| 2296 |
+
"learning_rate": 4.069616446003359e-06,
|
| 2297 |
+
"loss": 0.0325,
|
| 2298 |
+
"step": 3200
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.816793893129771,
|
| 2302 |
+
"grad_norm": 0.040499359369277954,
|
| 2303 |
+
"learning_rate": 3.962841738741066e-06,
|
| 2304 |
+
"loss": 0.0012,
|
| 2305 |
+
"step": 3210
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 0.8193384223918575,
|
| 2309 |
+
"grad_norm": 0.09009851515293121,
|
| 2310 |
+
"learning_rate": 3.8573322169195714e-06,
|
| 2311 |
+
"loss": 0.0015,
|
| 2312 |
+
"step": 3220
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 0.821882951653944,
|
| 2316 |
+
"grad_norm": 0.18267880380153656,
|
| 2317 |
+
"learning_rate": 3.753096204277338e-06,
|
| 2318 |
+
"loss": 0.0124,
|
| 2319 |
+
"step": 3230
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.8244274809160306,
|
| 2323 |
+
"grad_norm": 0.10474493354558945,
|
| 2324 |
+
"learning_rate": 3.650141924084558e-06,
|
| 2325 |
+
"loss": 0.0063,
|
| 2326 |
+
"step": 3240
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 0.8269720101781171,
|
| 2330 |
+
"grad_norm": 0.699243426322937,
|
| 2331 |
+
"learning_rate": 3.5484774984944338e-06,
|
| 2332 |
+
"loss": 0.0068,
|
| 2333 |
+
"step": 3250
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 0.8295165394402035,
|
| 2337 |
+
"grad_norm": 0.29685115814208984,
|
| 2338 |
+
"learning_rate": 3.448110947902421e-06,
|
| 2339 |
+
"loss": 0.003,
|
| 2340 |
+
"step": 3260
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 0.8320610687022901,
|
| 2344 |
+
"grad_norm": 0.4149213433265686,
|
| 2345 |
+
"learning_rate": 3.349050190313461e-06,
|
| 2346 |
+
"loss": 0.0049,
|
| 2347 |
+
"step": 3270
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 0.8346055979643766,
|
| 2351 |
+
"grad_norm": 0.6565284132957458,
|
| 2352 |
+
"learning_rate": 3.251303040717375e-06,
|
| 2353 |
+
"loss": 0.0148,
|
| 2354 |
+
"step": 3280
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 0.8371501272264631,
|
| 2358 |
+
"grad_norm": 0.2658619284629822,
|
| 2359 |
+
"learning_rate": 3.154877210472258e-06,
|
| 2360 |
+
"loss": 0.0057,
|
| 2361 |
+
"step": 3290
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 0.8396946564885496,
|
| 2365 |
+
"grad_norm": 0.13574959337711334,
|
| 2366 |
+
"learning_rate": 3.059780306696205e-06,
|
| 2367 |
+
"loss": 0.0127,
|
| 2368 |
+
"step": 3300
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 0.8422391857506362,
|
| 2372 |
+
"grad_norm": 0.9018545746803284,
|
| 2373 |
+
"learning_rate": 2.966019831667113e-06,
|
| 2374 |
+
"loss": 0.003,
|
| 2375 |
+
"step": 3310
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 0.8447837150127226,
|
| 2379 |
+
"grad_norm": 0.09459356218576431,
|
| 2380 |
+
"learning_rate": 2.873603182230871e-06,
|
| 2381 |
+
"loss": 0.0071,
|
| 2382 |
+
"step": 3320
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 0.8473282442748091,
|
| 2386 |
+
"grad_norm": 0.17552825808525085,
|
| 2387 |
+
"learning_rate": 2.782537649217758e-06,
|
| 2388 |
+
"loss": 0.0036,
|
| 2389 |
+
"step": 3330
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 0.8498727735368957,
|
| 2393 |
+
"grad_norm": 0.04037044569849968,
|
| 2394 |
+
"learning_rate": 2.6928304168673334e-06,
|
| 2395 |
+
"loss": 0.0106,
|
| 2396 |
+
"step": 3340
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 0.8524173027989822,
|
| 2400 |
+
"grad_norm": 0.2764248847961426,
|
| 2401 |
+
"learning_rate": 2.6044885622616002e-06,
|
| 2402 |
+
"loss": 0.0047,
|
| 2403 |
+
"step": 3350
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 0.8549618320610687,
|
| 2407 |
+
"grad_norm": 0.308089941740036,
|
| 2408 |
+
"learning_rate": 2.5175190547667392e-06,
|
| 2409 |
+
"loss": 0.0132,
|
| 2410 |
+
"step": 3360
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 0.8575063613231552,
|
| 2414 |
+
"grad_norm": 0.1258065551519394,
|
| 2415 |
+
"learning_rate": 2.431928755483255e-06,
|
| 2416 |
+
"loss": 0.0078,
|
| 2417 |
+
"step": 3370
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 0.8600508905852418,
|
| 2421 |
+
"grad_norm": 0.46120476722717285,
|
| 2422 |
+
"learning_rate": 2.3477244167047043e-06,
|
| 2423 |
+
"loss": 0.007,
|
| 2424 |
+
"step": 3380
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 0.8625954198473282,
|
| 2428 |
+
"grad_norm": 0.014702503569424152,
|
| 2429 |
+
"learning_rate": 2.2649126813850255e-06,
|
| 2430 |
+
"loss": 0.0031,
|
| 2431 |
+
"step": 3390
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 0.8651399491094147,
|
| 2435 |
+
"grad_norm": 0.04789889603853226,
|
| 2436 |
+
"learning_rate": 2.183500082614436e-06,
|
| 2437 |
+
"loss": 0.0041,
|
| 2438 |
+
"step": 3400
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 0.8676844783715013,
|
| 2442 |
+
"grad_norm": 0.608456552028656,
|
| 2443 |
+
"learning_rate": 2.1034930431040636e-06,
|
| 2444 |
+
"loss": 0.0111,
|
| 2445 |
+
"step": 3410
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 0.8702290076335878,
|
| 2449 |
+
"grad_norm": 0.0528593435883522,
|
| 2450 |
+
"learning_rate": 2.0248978746792103e-06,
|
| 2451 |
+
"loss": 0.0031,
|
| 2452 |
+
"step": 3420
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 0.8727735368956743,
|
| 2456 |
+
"grad_norm": 0.39954861998558044,
|
| 2457 |
+
"learning_rate": 1.9477207777814657e-06,
|
| 2458 |
+
"loss": 0.0026,
|
| 2459 |
+
"step": 3430
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 0.8753180661577609,
|
| 2463 |
+
"grad_norm": 0.010369670577347279,
|
| 2464 |
+
"learning_rate": 1.8719678409794895e-06,
|
| 2465 |
+
"loss": 0.0034,
|
| 2466 |
+
"step": 3440
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 0.8778625954198473,
|
| 2470 |
+
"grad_norm": 0.007241360377520323,
|
| 2471 |
+
"learning_rate": 1.7976450404887247e-06,
|
| 2472 |
+
"loss": 0.008,
|
| 2473 |
+
"step": 3450
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 0.8804071246819338,
|
| 2477 |
+
"grad_norm": 0.0016010465333238244,
|
| 2478 |
+
"learning_rate": 1.7247582396998997e-06,
|
| 2479 |
+
"loss": 0.0046,
|
| 2480 |
+
"step": 3460
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 0.8829516539440203,
|
| 2484 |
+
"grad_norm": 0.03342008963227272,
|
| 2485 |
+
"learning_rate": 1.6533131887164678e-06,
|
| 2486 |
+
"loss": 0.0024,
|
| 2487 |
+
"step": 3470
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 0.8854961832061069,
|
| 2491 |
+
"grad_norm": 0.34147369861602783,
|
| 2492 |
+
"learning_rate": 1.5833155239009945e-06,
|
| 2493 |
+
"loss": 0.0054,
|
| 2494 |
+
"step": 3480
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 0.8880407124681934,
|
| 2498 |
+
"grad_norm": 0.5823006629943848,
|
| 2499 |
+
"learning_rate": 1.5147707674304645e-06,
|
| 2500 |
+
"loss": 0.0118,
|
| 2501 |
+
"step": 3490
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 0.8905852417302799,
|
| 2505 |
+
"grad_norm": 0.07701938599348068,
|
| 2506 |
+
"learning_rate": 1.4476843268606766e-06,
|
| 2507 |
+
"loss": 0.0179,
|
| 2508 |
+
"step": 3500
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 0.8905852417302799,
|
| 2512 |
+
"eval_loss": 0.026824606582522392,
|
| 2513 |
+
"eval_runtime": 133.8011,
|
| 2514 |
+
"eval_samples_per_second": 59.656,
|
| 2515 |
+
"eval_steps_per_second": 0.471,
|
| 2516 |
+
"step": 3500
|
| 2517 |
+
},
|
| 2518 |
+
{
|
| 2519 |
+
"epoch": 0.8931297709923665,
|
| 2520 |
+
"grad_norm": 0.005703531205654144,
|
| 2521 |
+
"learning_rate": 1.3820614946995825e-06,
|
| 2522 |
+
"loss": 0.0015,
|
| 2523 |
+
"step": 3510
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 0.8956743002544529,
|
| 2527 |
+
"grad_norm": 0.23243391513824463,
|
| 2528 |
+
"learning_rate": 1.3179074479898147e-06,
|
| 2529 |
+
"loss": 0.0026,
|
| 2530 |
+
"step": 3520
|
| 2531 |
+
},
|
| 2532 |
+
{
|
| 2533 |
+
"epoch": 0.8982188295165394,
|
| 2534 |
+
"grad_norm": 0.15943369269371033,
|
| 2535 |
+
"learning_rate": 1.2552272479002191e-06,
|
| 2536 |
+
"loss": 0.004,
|
| 2537 |
+
"step": 3530
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 0.9007633587786259,
|
| 2541 |
+
"grad_norm": 0.7741881608963013,
|
| 2542 |
+
"learning_rate": 1.1940258393266046e-06,
|
| 2543 |
+
"loss": 0.0082,
|
| 2544 |
+
"step": 3540
|
| 2545 |
+
},
|
| 2546 |
+
{
|
| 2547 |
+
"epoch": 0.9033078880407125,
|
| 2548 |
+
"grad_norm": 0.040168922394514084,
|
| 2549 |
+
"learning_rate": 1.1343080505016113e-06,
|
| 2550 |
+
"loss": 0.0054,
|
| 2551 |
+
"step": 3550
|
| 2552 |
+
},
|
| 2553 |
+
{
|
| 2554 |
+
"epoch": 0.905852417302799,
|
| 2555 |
+
"grad_norm": 0.125325545668602,
|
| 2556 |
+
"learning_rate": 1.0760785926138317e-06,
|
| 2557 |
+
"loss": 0.0063,
|
| 2558 |
+
"step": 3560
|
| 2559 |
+
},
|
| 2560 |
+
{
|
| 2561 |
+
"epoch": 0.9083969465648855,
|
| 2562 |
+
"grad_norm": 0.006215882487595081,
|
| 2563 |
+
"learning_rate": 1.0193420594361192e-06,
|
| 2564 |
+
"loss": 0.0088,
|
| 2565 |
+
"step": 3570
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 0.910941475826972,
|
| 2569 |
+
"grad_norm": 0.004541431088000536,
|
| 2570 |
+
"learning_rate": 9.64102926963204e-07,
|
| 2571 |
+
"loss": 0.0057,
|
| 2572 |
+
"step": 3580
|
| 2573 |
+
},
|
| 2574 |
+
{
|
| 2575 |
+
"epoch": 0.9134860050890585,
|
| 2576 |
+
"grad_norm": 0.335150808095932,
|
| 2577 |
+
"learning_rate": 9.10365553058552e-07,
|
| 2578 |
+
"loss": 0.0059,
|
| 2579 |
+
"step": 3590
|
| 2580 |
+
},
|
| 2581 |
+
{
|
| 2582 |
+
"epoch": 0.916030534351145,
|
| 2583 |
+
"grad_norm": 0.23206155002117157,
|
| 2584 |
+
"learning_rate": 8.581341771105855e-07,
|
| 2585 |
+
"loss": 0.0026,
|
| 2586 |
+
"step": 3600
|
| 2587 |
+
},
|
| 2588 |
+
{
|
| 2589 |
+
"epoch": 0.9185750636132316,
|
| 2590 |
+
"grad_norm": 0.008256657049059868,
|
| 2591 |
+
"learning_rate": 8.074129196982383e-07,
|
| 2592 |
+
"loss": 0.0006,
|
| 2593 |
+
"step": 3610
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"epoch": 0.9211195928753181,
|
| 2597 |
+
"grad_norm": 0.016796592622995377,
|
| 2598 |
+
"learning_rate": 7.582057822658617e-07,
|
| 2599 |
+
"loss": 0.0069,
|
| 2600 |
+
"step": 3620
|
| 2601 |
+
},
|
| 2602 |
+
{
|
| 2603 |
+
"epoch": 0.9236641221374046,
|
| 2604 |
+
"grad_norm": 0.16465610265731812,
|
| 2605 |
+
"learning_rate": 7.105166468075708e-07,
|
| 2606 |
+
"loss": 0.0097,
|
| 2607 |
+
"step": 3630
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 0.926208651399491,
|
| 2611 |
+
"grad_norm": 0.01669142208993435,
|
| 2612 |
+
"learning_rate": 6.643492755609582e-07,
|
| 2613 |
+
"loss": 0.0089,
|
| 2614 |
+
"step": 3640
|
| 2615 |
+
},
|
| 2616 |
+
{
|
| 2617 |
+
"epoch": 0.9287531806615776,
|
| 2618 |
+
"grad_norm": 0.017663290724158287,
|
| 2619 |
+
"learning_rate": 6.197073107103246e-07,
|
| 2620 |
+
"loss": 0.0063,
|
| 2621 |
+
"step": 3650
|
| 2622 |
+
},
|
| 2623 |
+
{
|
| 2624 |
+
"epoch": 0.9312977099236641,
|
| 2625 |
+
"grad_norm": 0.011701943352818489,
|
| 2626 |
+
"learning_rate": 5.76594274099318e-07,
|
| 2627 |
+
"loss": 0.0036,
|
| 2628 |
+
"step": 3660
|
| 2629 |
+
},
|
| 2630 |
+
{
|
| 2631 |
+
"epoch": 0.9338422391857506,
|
| 2632 |
+
"grad_norm": 0.03834490105509758,
|
| 2633 |
+
"learning_rate": 5.350135669531021e-07,
|
| 2634 |
+
"loss": 0.0015,
|
| 2635 |
+
"step": 3670
|
| 2636 |
+
},
|
| 2637 |
+
{
|
| 2638 |
+
"epoch": 0.9363867684478372,
|
| 2639 |
+
"grad_norm": 0.009739384986460209,
|
| 2640 |
+
"learning_rate": 4.94968469610031e-07,
|
| 2641 |
+
"loss": 0.0036,
|
| 2642 |
+
"step": 3680
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 0.9389312977099237,
|
| 2646 |
+
"grad_norm": 0.19935356080532074,
|
| 2647 |
+
"learning_rate": 4.5646214126285003e-07,
|
| 2648 |
+
"loss": 0.0047,
|
| 2649 |
+
"step": 3690
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 0.9414758269720102,
|
| 2653 |
+
"grad_norm": 0.09777217358350754,
|
| 2654 |
+
"learning_rate": 4.19497619709488e-07,
|
| 2655 |
+
"loss": 0.0096,
|
| 2656 |
+
"step": 3700
|
| 2657 |
+
},
|
| 2658 |
+
{
|
| 2659 |
+
"epoch": 0.9440203562340967,
|
| 2660 |
+
"grad_norm": 0.016920480877161026,
|
| 2661 |
+
"learning_rate": 3.8407782111336887e-07,
|
| 2662 |
+
"loss": 0.0035,
|
| 2663 |
+
"step": 3710
|
| 2664 |
+
},
|
| 2665 |
+
{
|
| 2666 |
+
"epoch": 0.9465648854961832,
|
| 2667 |
+
"grad_norm": 0.061550453305244446,
|
| 2668 |
+
"learning_rate": 3.5020553977338944e-07,
|
| 2669 |
+
"loss": 0.0058,
|
| 2670 |
+
"step": 3720
|
| 2671 |
+
},
|
| 2672 |
+
{
|
| 2673 |
+
"epoch": 0.9491094147582697,
|
| 2674 |
+
"grad_norm": 0.0069776298478245735,
|
| 2675 |
+
"learning_rate": 3.1788344790343983e-07,
|
| 2676 |
+
"loss": 0.0079,
|
| 2677 |
+
"step": 3730
|
| 2678 |
+
},
|
| 2679 |
+
{
|
| 2680 |
+
"epoch": 0.9516539440203562,
|
| 2681 |
+
"grad_norm": 0.23164740204811096,
|
| 2682 |
+
"learning_rate": 2.8711409542162337e-07,
|
| 2683 |
+
"loss": 0.0049,
|
| 2684 |
+
"step": 3740
|
| 2685 |
+
},
|
| 2686 |
+
{
|
| 2687 |
+
"epoch": 0.9541984732824428,
|
| 2688 |
+
"grad_norm": 0.06328263878822327,
|
| 2689 |
+
"learning_rate": 2.5789990974905976e-07,
|
| 2690 |
+
"loss": 0.0015,
|
| 2691 |
+
"step": 3750
|
| 2692 |
+
},
|
| 2693 |
+
{
|
| 2694 |
+
"epoch": 0.9567430025445293,
|
| 2695 |
+
"grad_norm": 0.023984622210264206,
|
| 2696 |
+
"learning_rate": 2.3024319561841367e-07,
|
| 2697 |
+
"loss": 0.0055,
|
| 2698 |
+
"step": 3760
|
| 2699 |
+
},
|
| 2700 |
+
{
|
| 2701 |
+
"epoch": 0.9592875318066157,
|
| 2702 |
+
"grad_norm": 0.023586424067616463,
|
| 2703 |
+
"learning_rate": 2.0414613489204482e-07,
|
| 2704 |
+
"loss": 0.0065,
|
| 2705 |
+
"step": 3770
|
| 2706 |
+
},
|
| 2707 |
+
{
|
| 2708 |
+
"epoch": 0.9618320610687023,
|
| 2709 |
+
"grad_norm": 0.18740814924240112,
|
| 2710 |
+
"learning_rate": 1.7961078638989882e-07,
|
| 2711 |
+
"loss": 0.0078,
|
| 2712 |
+
"step": 3780
|
| 2713 |
+
},
|
| 2714 |
+
{
|
| 2715 |
+
"epoch": 0.9643765903307888,
|
| 2716 |
+
"grad_norm": 0.10229060053825378,
|
| 2717 |
+
"learning_rate": 1.5663908572707942e-07,
|
| 2718 |
+
"loss": 0.0032,
|
| 2719 |
+
"step": 3790
|
| 2720 |
+
},
|
| 2721 |
+
{
|
| 2722 |
+
"epoch": 0.9669211195928753,
|
| 2723 |
+
"grad_norm": 0.011107267811894417,
|
| 2724 |
+
"learning_rate": 1.3523284516113955e-07,
|
| 2725 |
+
"loss": 0.0043,
|
| 2726 |
+
"step": 3800
|
| 2727 |
+
},
|
| 2728 |
+
{
|
| 2729 |
+
"epoch": 0.9694656488549618,
|
| 2730 |
+
"grad_norm": 0.2984590232372284,
|
| 2731 |
+
"learning_rate": 1.1539375344912229e-07,
|
| 2732 |
+
"loss": 0.0101,
|
| 2733 |
+
"step": 3810
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 0.9720101781170484,
|
| 2737 |
+
"grad_norm": 0.026143522933125496,
|
| 2738 |
+
"learning_rate": 9.712337571431862e-08,
|
| 2739 |
+
"loss": 0.0031,
|
| 2740 |
+
"step": 3820
|
| 2741 |
+
},
|
| 2742 |
+
{
|
| 2743 |
+
"epoch": 0.9745547073791349,
|
| 2744 |
+
"grad_norm": 0.3905351161956787,
|
| 2745 |
+
"learning_rate": 8.042315332280836e-08,
|
| 2746 |
+
"loss": 0.0172,
|
| 2747 |
+
"step": 3830
|
| 2748 |
+
},
|
| 2749 |
+
{
|
| 2750 |
+
"epoch": 0.9770992366412213,
|
| 2751 |
+
"grad_norm": 0.02859717793762684,
|
| 2752 |
+
"learning_rate": 6.529440376974227e-08,
|
| 2753 |
+
"loss": 0.0137,
|
| 2754 |
+
"step": 3840
|
| 2755 |
+
},
|
| 2756 |
+
{
|
| 2757 |
+
"epoch": 0.9796437659033079,
|
| 2758 |
+
"grad_norm": 0.1317782700061798,
|
| 2759 |
+
"learning_rate": 5.173832057540518e-08,
|
| 2760 |
+
"loss": 0.008,
|
| 2761 |
+
"step": 3850
|
| 2762 |
+
},
|
| 2763 |
+
{
|
| 2764 |
+
"epoch": 0.9821882951653944,
|
| 2765 |
+
"grad_norm": 0.013159171678125858,
|
| 2766 |
+
"learning_rate": 3.975597319105129e-08,
|
| 2767 |
+
"loss": 0.0067,
|
| 2768 |
+
"step": 3860
|
| 2769 |
+
},
|
| 2770 |
+
{
|
| 2771 |
+
"epoch": 0.9847328244274809,
|
| 2772 |
+
"grad_norm": 0.2731088697910309,
|
| 2773 |
+
"learning_rate": 2.9348306914551704e-08,
|
| 2774 |
+
"loss": 0.0015,
|
| 2775 |
+
"step": 3870
|
| 2776 |
+
},
|
| 2777 |
+
{
|
| 2778 |
+
"epoch": 0.9872773536895675,
|
| 2779 |
+
"grad_norm": 0.11571499705314636,
|
| 2780 |
+
"learning_rate": 2.051614281579406e-08,
|
| 2781 |
+
"loss": 0.0056,
|
| 2782 |
+
"step": 3880
|
| 2783 |
+
},
|
| 2784 |
+
{
|
| 2785 |
+
"epoch": 0.989821882951654,
|
| 2786 |
+
"grad_norm": 0.029448339715600014,
|
| 2787 |
+
"learning_rate": 1.3260177671934327e-08,
|
| 2788 |
+
"loss": 0.0051,
|
| 2789 |
+
"step": 3890
|
| 2790 |
+
},
|
| 2791 |
+
{
|
| 2792 |
+
"epoch": 0.9923664122137404,
|
| 2793 |
+
"grad_norm": 0.0022927136160433292,
|
| 2794 |
+
"learning_rate": 7.580983912405249e-09,
|
| 2795 |
+
"loss": 0.0035,
|
| 2796 |
+
"step": 3900
|
| 2797 |
+
},
|
| 2798 |
+
{
|
| 2799 |
+
"epoch": 0.9949109414758269,
|
| 2800 |
+
"grad_norm": 0.12946487963199615,
|
| 2801 |
+
"learning_rate": 3.4790095737680107e-09,
|
| 2802 |
+
"loss": 0.0034,
|
| 2803 |
+
"step": 3910
|
| 2804 |
+
},
|
| 2805 |
+
{
|
| 2806 |
+
"epoch": 0.9974554707379135,
|
| 2807 |
+
"grad_norm": 0.04240253567695618,
|
| 2808 |
+
"learning_rate": 9.545782643716195e-10,
|
| 2809 |
+
"loss": 0.0012,
|
| 2810 |
+
"step": 3920
|
| 2811 |
+
},
|
| 2812 |
+
{
|
| 2813 |
+
"epoch": 1.0,
|
| 2814 |
+
"grad_norm": 0.00012703906395472586,
|
| 2815 |
+
"learning_rate": 7.88913880445108e-12,
|
| 2816 |
+
"loss": 0.0047,
|
| 2817 |
+
"step": 3930
|
| 2818 |
+
}
|
| 2819 |
+
],
|
| 2820 |
+
"logging_steps": 10,
|
| 2821 |
+
"max_steps": 3930,
|
| 2822 |
+
"num_input_tokens_seen": 0,
|
| 2823 |
+
"num_train_epochs": 1,
|
| 2824 |
+
"save_steps": 500,
|
| 2825 |
+
"stateful_callbacks": {
|
| 2826 |
+
"TrainerControl": {
|
| 2827 |
+
"args": {
|
| 2828 |
+
"should_epoch_stop": false,
|
| 2829 |
+
"should_evaluate": false,
|
| 2830 |
+
"should_log": false,
|
| 2831 |
+
"should_save": true,
|
| 2832 |
+
"should_training_stop": true
|
| 2833 |
+
},
|
| 2834 |
+
"attributes": {}
|
| 2835 |
+
}
|
| 2836 |
+
},
|
| 2837 |
+
"total_flos": 2.273606668827065e+18,
|
| 2838 |
+
"train_batch_size": 128,
|
| 2839 |
+
"trial_name": null,
|
| 2840 |
+
"trial_params": null
|
| 2841 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c65628433ea28123586576cb8ecb0a229acd0a013b868231816c8551cd76509
|
| 3 |
+
size 5969
|