Upload folder using huggingface_hub
Browse files- checkpoint-550/README.md +202 -0
- checkpoint-550/adapter_config.json +37 -0
- checkpoint-550/adapter_model.safetensors +3 -0
- checkpoint-550/optimizer.pt +3 -0
- checkpoint-550/rng_state.pth +3 -0
- checkpoint-550/scheduler.pt +3 -0
- checkpoint-550/trainer_state.json +3883 -0
- checkpoint-550/training_args.bin +3 -0
checkpoint-550/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: rinna/llama-3-youko-8b
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- 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. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
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).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
checkpoint-550/adapter_config.json
ADDED
|
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "rinna/llama-3-youko-8b",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": [
|
| 18 |
+
"lm_head",
|
| 19 |
+
"embed_tokens"
|
| 20 |
+
],
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 128,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"k_proj",
|
| 27 |
+
"gate_proj",
|
| 28 |
+
"o_proj",
|
| 29 |
+
"up_proj",
|
| 30 |
+
"q_proj",
|
| 31 |
+
"down_proj",
|
| 32 |
+
"v_proj"
|
| 33 |
+
],
|
| 34 |
+
"task_type": "CAUSAL_LM",
|
| 35 |
+
"use_dora": false,
|
| 36 |
+
"use_rslora": true
|
| 37 |
+
}
|
checkpoint-550/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65a2aa2112671600d547fcac540ef448119a4df7f8e5bef6dd7e32989f564d53
|
| 3 |
+
size 11849545016
|
checkpoint-550/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:923d571c57035b28b169632080e70bf85ac5f0cd0ef47d0161d108adad14e9b1
|
| 3 |
+
size 2779665054
|
checkpoint-550/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fcf3105ff9a09fa649d90cc2a6abcb3d4755437a2f5b9771c168cadde7353fb8
|
| 3 |
+
size 14244
|
checkpoint-550/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e1f4a3141563325956bc811ea46fb462d89cf259e1673bb156b0a6a8a70b73d3
|
| 3 |
+
size 1064
|
checkpoint-550/trainer_state.json
ADDED
|
@@ -0,0 +1,3883 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.7165190203230849,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 550,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0013027618551328818,
|
| 13 |
+
"grad_norm": 14.949752807617188,
|
| 14 |
+
"learning_rate": 4.0625e-06,
|
| 15 |
+
"loss": 1.3439,
|
| 16 |
+
"step": 1
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.0026055237102657635,
|
| 20 |
+
"grad_norm": 15.725403785705566,
|
| 21 |
+
"learning_rate": 8.125e-06,
|
| 22 |
+
"loss": 1.3354,
|
| 23 |
+
"step": 2
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.0039082855653986455,
|
| 27 |
+
"grad_norm": 12.41278076171875,
|
| 28 |
+
"learning_rate": 1.2187499999999998e-05,
|
| 29 |
+
"loss": 1.3017,
|
| 30 |
+
"step": 3
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.005211047420531527,
|
| 34 |
+
"grad_norm": 6.782334327697754,
|
| 35 |
+
"learning_rate": 1.625e-05,
|
| 36 |
+
"loss": 1.2634,
|
| 37 |
+
"step": 4
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.006513809275664409,
|
| 41 |
+
"grad_norm": 3.730219841003418,
|
| 42 |
+
"learning_rate": 2.03125e-05,
|
| 43 |
+
"loss": 1.1704,
|
| 44 |
+
"step": 5
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.007816571130797291,
|
| 48 |
+
"grad_norm": 2.547757863998413,
|
| 49 |
+
"learning_rate": 2.4374999999999996e-05,
|
| 50 |
+
"loss": 1.165,
|
| 51 |
+
"step": 6
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.009119332985930172,
|
| 55 |
+
"grad_norm": 2.4353976249694824,
|
| 56 |
+
"learning_rate": 2.8437499999999997e-05,
|
| 57 |
+
"loss": 1.1567,
|
| 58 |
+
"step": 7
|
| 59 |
+
},
|
| 60 |
+
{
|
| 61 |
+
"epoch": 0.010422094841063054,
|
| 62 |
+
"grad_norm": 2.218895673751831,
|
| 63 |
+
"learning_rate": 3.25e-05,
|
| 64 |
+
"loss": 1.0846,
|
| 65 |
+
"step": 8
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.011724856696195935,
|
| 69 |
+
"grad_norm": 1.7433233261108398,
|
| 70 |
+
"learning_rate": 3.6562499999999994e-05,
|
| 71 |
+
"loss": 0.9816,
|
| 72 |
+
"step": 9
|
| 73 |
+
},
|
| 74 |
+
{
|
| 75 |
+
"epoch": 0.013027618551328817,
|
| 76 |
+
"grad_norm": 1.6148579120635986,
|
| 77 |
+
"learning_rate": 4.0625e-05,
|
| 78 |
+
"loss": 1.0869,
|
| 79 |
+
"step": 10
|
| 80 |
+
},
|
| 81 |
+
{
|
| 82 |
+
"epoch": 0.0143303804064617,
|
| 83 |
+
"grad_norm": 1.5065230131149292,
|
| 84 |
+
"learning_rate": 4.4687499999999995e-05,
|
| 85 |
+
"loss": 0.9625,
|
| 86 |
+
"step": 11
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.015633142261594582,
|
| 90 |
+
"grad_norm": 1.4786823987960815,
|
| 91 |
+
"learning_rate": 4.874999999999999e-05,
|
| 92 |
+
"loss": 1.0489,
|
| 93 |
+
"step": 12
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.016935904116727463,
|
| 97 |
+
"grad_norm": 1.2991230487823486,
|
| 98 |
+
"learning_rate": 5.2812499999999996e-05,
|
| 99 |
+
"loss": 0.9935,
|
| 100 |
+
"step": 13
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"epoch": 0.018238665971860343,
|
| 104 |
+
"grad_norm": 1.3199464082717896,
|
| 105 |
+
"learning_rate": 5.687499999999999e-05,
|
| 106 |
+
"loss": 1.0188,
|
| 107 |
+
"step": 14
|
| 108 |
+
},
|
| 109 |
+
{
|
| 110 |
+
"epoch": 0.019541427826993224,
|
| 111 |
+
"grad_norm": 1.2793257236480713,
|
| 112 |
+
"learning_rate": 6.09375e-05,
|
| 113 |
+
"loss": 1.0265,
|
| 114 |
+
"step": 15
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"epoch": 0.020844189682126108,
|
| 118 |
+
"grad_norm": 1.2210655212402344,
|
| 119 |
+
"learning_rate": 6.5e-05,
|
| 120 |
+
"loss": 0.9019,
|
| 121 |
+
"step": 16
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.02214695153725899,
|
| 125 |
+
"grad_norm": 1.3837445974349976,
|
| 126 |
+
"learning_rate": 6.499971563731688e-05,
|
| 127 |
+
"loss": 0.9487,
|
| 128 |
+
"step": 17
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.02344971339239187,
|
| 132 |
+
"grad_norm": 1.2946529388427734,
|
| 133 |
+
"learning_rate": 6.499886255424368e-05,
|
| 134 |
+
"loss": 1.0031,
|
| 135 |
+
"step": 18
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.024752475247524754,
|
| 139 |
+
"grad_norm": 1.3142110109329224,
|
| 140 |
+
"learning_rate": 6.499744076570868e-05,
|
| 141 |
+
"loss": 0.9941,
|
| 142 |
+
"step": 19
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"epoch": 0.026055237102657634,
|
| 146 |
+
"grad_norm": 1.8206599950790405,
|
| 147 |
+
"learning_rate": 6.499545029659211e-05,
|
| 148 |
+
"loss": 0.9767,
|
| 149 |
+
"step": 20
|
| 150 |
+
},
|
| 151 |
+
{
|
| 152 |
+
"epoch": 0.027357998957790515,
|
| 153 |
+
"grad_norm": 1.2736281156539917,
|
| 154 |
+
"learning_rate": 6.499289118172568e-05,
|
| 155 |
+
"loss": 0.9194,
|
| 156 |
+
"step": 21
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.0286607608129234,
|
| 160 |
+
"grad_norm": 1.8105640411376953,
|
| 161 |
+
"learning_rate": 6.498976346589196e-05,
|
| 162 |
+
"loss": 0.9853,
|
| 163 |
+
"step": 22
|
| 164 |
+
},
|
| 165 |
+
{
|
| 166 |
+
"epoch": 0.02996352266805628,
|
| 167 |
+
"grad_norm": 1.4621827602386475,
|
| 168 |
+
"learning_rate": 6.49860672038236e-05,
|
| 169 |
+
"loss": 0.9896,
|
| 170 |
+
"step": 23
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.031266284523189164,
|
| 174 |
+
"grad_norm": 1.212299108505249,
|
| 175 |
+
"learning_rate": 6.498180246020238e-05,
|
| 176 |
+
"loss": 0.9684,
|
| 177 |
+
"step": 24
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.032569046378322045,
|
| 181 |
+
"grad_norm": 1.2274290323257446,
|
| 182 |
+
"learning_rate": 6.49769693096581e-05,
|
| 183 |
+
"loss": 0.9831,
|
| 184 |
+
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.033871808233454925,
|
| 188 |
+
"grad_norm": 1.2909352779388428,
|
| 189 |
+
"learning_rate": 6.49715678367672e-05,
|
| 190 |
+
"loss": 0.9971,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.035174570088587806,
|
| 195 |
+
"grad_norm": 1.2330715656280518,
|
| 196 |
+
"learning_rate": 6.49655981360514e-05,
|
| 197 |
+
"loss": 0.9923,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.03647733194372069,
|
| 202 |
+
"grad_norm": 1.2433793544769287,
|
| 203 |
+
"learning_rate": 6.495906031197591e-05,
|
| 204 |
+
"loss": 0.9121,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.03778009379885357,
|
| 209 |
+
"grad_norm": 1.2374027967453003,
|
| 210 |
+
"learning_rate": 6.49519544789477e-05,
|
| 211 |
+
"loss": 0.9224,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.03908285565398645,
|
| 216 |
+
"grad_norm": 1.2204357385635376,
|
| 217 |
+
"learning_rate": 6.494428076131346e-05,
|
| 218 |
+
"loss": 0.919,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.040385617509119336,
|
| 223 |
+
"grad_norm": 1.1927292346954346,
|
| 224 |
+
"learning_rate": 6.493603929335744e-05,
|
| 225 |
+
"loss": 0.9589,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.041688379364252216,
|
| 230 |
+
"grad_norm": 1.1353641748428345,
|
| 231 |
+
"learning_rate": 6.492723021929908e-05,
|
| 232 |
+
"loss": 0.8869,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.0429911412193851,
|
| 237 |
+
"grad_norm": 1.212263822555542,
|
| 238 |
+
"learning_rate": 6.49178536932905e-05,
|
| 239 |
+
"loss": 0.8934,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.04429390307451798,
|
| 244 |
+
"grad_norm": 1.0893241167068481,
|
| 245 |
+
"learning_rate": 6.49079098794138e-05,
|
| 246 |
+
"loss": 0.8718,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.04559666492965086,
|
| 251 |
+
"grad_norm": 1.1801607608795166,
|
| 252 |
+
"learning_rate": 6.489739895167818e-05,
|
| 253 |
+
"loss": 0.9774,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.04689942678478374,
|
| 258 |
+
"grad_norm": 1.1302330493927002,
|
| 259 |
+
"learning_rate": 6.488632109401691e-05,
|
| 260 |
+
"loss": 0.9584,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.04820218863991663,
|
| 265 |
+
"grad_norm": 1.1432682275772095,
|
| 266 |
+
"learning_rate": 6.487467650028411e-05,
|
| 267 |
+
"loss": 0.9452,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.04950495049504951,
|
| 272 |
+
"grad_norm": 1.1399481296539307,
|
| 273 |
+
"learning_rate": 6.486246537425133e-05,
|
| 274 |
+
"loss": 0.9017,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.05080771235018239,
|
| 279 |
+
"grad_norm": 1.0911235809326172,
|
| 280 |
+
"learning_rate": 6.484968792960403e-05,
|
| 281 |
+
"loss": 0.9036,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.05211047420531527,
|
| 286 |
+
"grad_norm": 1.071078896522522,
|
| 287 |
+
"learning_rate": 6.48363443899378e-05,
|
| 288 |
+
"loss": 0.9273,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.05341323606044815,
|
| 293 |
+
"grad_norm": 1.053589105606079,
|
| 294 |
+
"learning_rate": 6.482243498875449e-05,
|
| 295 |
+
"loss": 0.8847,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.05471599791558103,
|
| 300 |
+
"grad_norm": 1.109771490097046,
|
| 301 |
+
"learning_rate": 6.480795996945806e-05,
|
| 302 |
+
"loss": 0.9364,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.05601875977071391,
|
| 307 |
+
"grad_norm": 1.1093286275863647,
|
| 308 |
+
"learning_rate": 6.479291958535037e-05,
|
| 309 |
+
"loss": 0.9088,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.0573215216258468,
|
| 314 |
+
"grad_norm": 1.0716255903244019,
|
| 315 |
+
"learning_rate": 6.477731409962675e-05,
|
| 316 |
+
"loss": 0.8885,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.05862428348097968,
|
| 321 |
+
"grad_norm": 1.1552095413208008,
|
| 322 |
+
"learning_rate": 6.476114378537138e-05,
|
| 323 |
+
"loss": 0.9736,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.05992704533611256,
|
| 328 |
+
"grad_norm": 1.1647394895553589,
|
| 329 |
+
"learning_rate": 6.474440892555249e-05,
|
| 330 |
+
"loss": 0.9138,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.06122980719124544,
|
| 335 |
+
"grad_norm": 1.1463412046432495,
|
| 336 |
+
"learning_rate": 6.472710981301745e-05,
|
| 337 |
+
"loss": 0.9204,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.06253256904637833,
|
| 342 |
+
"grad_norm": 1.175421118736267,
|
| 343 |
+
"learning_rate": 6.470924675048762e-05,
|
| 344 |
+
"loss": 0.9119,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.06383533090151121,
|
| 349 |
+
"grad_norm": 1.9249529838562012,
|
| 350 |
+
"learning_rate": 6.469082005055304e-05,
|
| 351 |
+
"loss": 0.8639,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.06513809275664409,
|
| 356 |
+
"grad_norm": 1.1802655458450317,
|
| 357 |
+
"learning_rate": 6.467183003566701e-05,
|
| 358 |
+
"loss": 0.9352,
|
| 359 |
+
"step": 50
|
| 360 |
+
},
|
| 361 |
+
{
|
| 362 |
+
"epoch": 0.06644085461177697,
|
| 363 |
+
"grad_norm": 1.1035569906234741,
|
| 364 |
+
"learning_rate": 6.465227703814038e-05,
|
| 365 |
+
"loss": 0.9342,
|
| 366 |
+
"step": 51
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.06774361646690985,
|
| 370 |
+
"grad_norm": 1.1226942539215088,
|
| 371 |
+
"learning_rate": 6.463216140013581e-05,
|
| 372 |
+
"loss": 0.8948,
|
| 373 |
+
"step": 52
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 0.06904637832204273,
|
| 377 |
+
"grad_norm": 1.1143085956573486,
|
| 378 |
+
"learning_rate": 6.46114834736617e-05,
|
| 379 |
+
"loss": 0.9577,
|
| 380 |
+
"step": 53
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.07034914017717561,
|
| 384 |
+
"grad_norm": 1.1214665174484253,
|
| 385 |
+
"learning_rate": 6.459024362056608e-05,
|
| 386 |
+
"loss": 0.9106,
|
| 387 |
+
"step": 54
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 0.07165190203230849,
|
| 391 |
+
"grad_norm": 1.1105942726135254,
|
| 392 |
+
"learning_rate": 6.45684422125303e-05,
|
| 393 |
+
"loss": 0.8706,
|
| 394 |
+
"step": 55
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 0.07295466388744137,
|
| 398 |
+
"grad_norm": 1.0562191009521484,
|
| 399 |
+
"learning_rate": 6.454607963106247e-05,
|
| 400 |
+
"loss": 0.8278,
|
| 401 |
+
"step": 56
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 0.07425742574257425,
|
| 405 |
+
"grad_norm": 1.1298907995224,
|
| 406 |
+
"learning_rate": 6.452315626749081e-05,
|
| 407 |
+
"loss": 0.8883,
|
| 408 |
+
"step": 57
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 0.07556018759770713,
|
| 412 |
+
"grad_norm": 1.133426547050476,
|
| 413 |
+
"learning_rate": 6.449967252295682e-05,
|
| 414 |
+
"loss": 0.8868,
|
| 415 |
+
"step": 58
|
| 416 |
+
},
|
| 417 |
+
{
|
| 418 |
+
"epoch": 0.07686294945284002,
|
| 419 |
+
"grad_norm": 1.09175443649292,
|
| 420 |
+
"learning_rate": 6.447562880840822e-05,
|
| 421 |
+
"loss": 0.8486,
|
| 422 |
+
"step": 59
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.0781657113079729,
|
| 426 |
+
"grad_norm": 1.1153368949890137,
|
| 427 |
+
"learning_rate": 6.44510255445918e-05,
|
| 428 |
+
"loss": 0.9278,
|
| 429 |
+
"step": 60
|
| 430 |
+
},
|
| 431 |
+
{
|
| 432 |
+
"epoch": 0.07946847316310579,
|
| 433 |
+
"grad_norm": 1.102013349533081,
|
| 434 |
+
"learning_rate": 6.442586316204601e-05,
|
| 435 |
+
"loss": 0.8362,
|
| 436 |
+
"step": 61
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.08077123501823867,
|
| 440 |
+
"grad_norm": 1.1041877269744873,
|
| 441 |
+
"learning_rate": 6.44001421010935e-05,
|
| 442 |
+
"loss": 0.8746,
|
| 443 |
+
"step": 62
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.08207399687337155,
|
| 447 |
+
"grad_norm": 1.075576901435852,
|
| 448 |
+
"learning_rate": 6.437386281183331e-05,
|
| 449 |
+
"loss": 0.8567,
|
| 450 |
+
"step": 63
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.08337675872850443,
|
| 454 |
+
"grad_norm": 1.1472443342208862,
|
| 455 |
+
"learning_rate": 6.43470257541331e-05,
|
| 456 |
+
"loss": 0.9023,
|
| 457 |
+
"step": 64
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.08467952058363731,
|
| 461 |
+
"grad_norm": 1.1024972200393677,
|
| 462 |
+
"learning_rate": 6.431963139762104e-05,
|
| 463 |
+
"loss": 0.8982,
|
| 464 |
+
"step": 65
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.0859822824387702,
|
| 468 |
+
"grad_norm": 1.1128768920898438,
|
| 469 |
+
"learning_rate": 6.42916802216776e-05,
|
| 470 |
+
"loss": 0.883,
|
| 471 |
+
"step": 66
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.08728504429390307,
|
| 475 |
+
"grad_norm": 1.058384895324707,
|
| 476 |
+
"learning_rate": 6.426317271542717e-05,
|
| 477 |
+
"loss": 0.8428,
|
| 478 |
+
"step": 67
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.08858780614903596,
|
| 482 |
+
"grad_norm": 1.0728991031646729,
|
| 483 |
+
"learning_rate": 6.423410937772951e-05,
|
| 484 |
+
"loss": 0.8553,
|
| 485 |
+
"step": 68
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.08989056800416884,
|
| 489 |
+
"grad_norm": 1.0956963300704956,
|
| 490 |
+
"learning_rate": 6.4204490717171e-05,
|
| 491 |
+
"loss": 0.8894,
|
| 492 |
+
"step": 69
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.09119332985930172,
|
| 496 |
+
"grad_norm": 1.0787287950515747,
|
| 497 |
+
"learning_rate": 6.417431725205575e-05,
|
| 498 |
+
"loss": 0.9086,
|
| 499 |
+
"step": 70
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.0924960917144346,
|
| 503 |
+
"grad_norm": 1.1435580253601074,
|
| 504 |
+
"learning_rate": 6.414358951039651e-05,
|
| 505 |
+
"loss": 0.9074,
|
| 506 |
+
"step": 71
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.09379885356956748,
|
| 510 |
+
"grad_norm": 1.0396053791046143,
|
| 511 |
+
"learning_rate": 6.41123080299055e-05,
|
| 512 |
+
"loss": 0.8553,
|
| 513 |
+
"step": 72
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.09510161542470036,
|
| 517 |
+
"grad_norm": 1.0929105281829834,
|
| 518 |
+
"learning_rate": 6.40804733579849e-05,
|
| 519 |
+
"loss": 0.8504,
|
| 520 |
+
"step": 73
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.09640437727983325,
|
| 524 |
+
"grad_norm": 1.1395248174667358,
|
| 525 |
+
"learning_rate": 6.404808605171734e-05,
|
| 526 |
+
"loss": 0.9222,
|
| 527 |
+
"step": 74
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.09770713913496613,
|
| 531 |
+
"grad_norm": 1.0281647443771362,
|
| 532 |
+
"learning_rate": 6.401514667785613e-05,
|
| 533 |
+
"loss": 0.868,
|
| 534 |
+
"step": 75
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.09900990099009901,
|
| 538 |
+
"grad_norm": 1.0565054416656494,
|
| 539 |
+
"learning_rate": 6.398165581281536e-05,
|
| 540 |
+
"loss": 0.8302,
|
| 541 |
+
"step": 76
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.1003126628452319,
|
| 545 |
+
"grad_norm": 1.0529290437698364,
|
| 546 |
+
"learning_rate": 6.394761404265977e-05,
|
| 547 |
+
"loss": 0.8669,
|
| 548 |
+
"step": 77
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.10161542470036478,
|
| 552 |
+
"grad_norm": 1.0579882860183716,
|
| 553 |
+
"learning_rate": 6.391302196309452e-05,
|
| 554 |
+
"loss": 0.9204,
|
| 555 |
+
"step": 78
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 0.10291818655549766,
|
| 559 |
+
"grad_norm": 1.0531302690505981,
|
| 560 |
+
"learning_rate": 6.387788017945482e-05,
|
| 561 |
+
"loss": 0.9202,
|
| 562 |
+
"step": 79
|
| 563 |
+
},
|
| 564 |
+
{
|
| 565 |
+
"epoch": 0.10422094841063054,
|
| 566 |
+
"grad_norm": 1.0358260869979858,
|
| 567 |
+
"learning_rate": 6.384218930669521e-05,
|
| 568 |
+
"loss": 0.8647,
|
| 569 |
+
"step": 80
|
| 570 |
+
},
|
| 571 |
+
{
|
| 572 |
+
"epoch": 0.10552371026576342,
|
| 573 |
+
"grad_norm": 1.0599216222763062,
|
| 574 |
+
"learning_rate": 6.380594996937895e-05,
|
| 575 |
+
"loss": 0.9093,
|
| 576 |
+
"step": 81
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 0.1068264721208963,
|
| 580 |
+
"grad_norm": 1.2026344537734985,
|
| 581 |
+
"learning_rate": 6.376916280166696e-05,
|
| 582 |
+
"loss": 0.8731,
|
| 583 |
+
"step": 82
|
| 584 |
+
},
|
| 585 |
+
{
|
| 586 |
+
"epoch": 0.10812923397602918,
|
| 587 |
+
"grad_norm": 1.1054397821426392,
|
| 588 |
+
"learning_rate": 6.373182844730677e-05,
|
| 589 |
+
"loss": 0.8835,
|
| 590 |
+
"step": 83
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 0.10943199583116206,
|
| 594 |
+
"grad_norm": 1.030562162399292,
|
| 595 |
+
"learning_rate": 6.369394755962129e-05,
|
| 596 |
+
"loss": 0.8432,
|
| 597 |
+
"step": 84
|
| 598 |
+
},
|
| 599 |
+
{
|
| 600 |
+
"epoch": 0.11073475768629494,
|
| 601 |
+
"grad_norm": 1.0522128343582153,
|
| 602 |
+
"learning_rate": 6.365552080149737e-05,
|
| 603 |
+
"loss": 0.8598,
|
| 604 |
+
"step": 85
|
| 605 |
+
},
|
| 606 |
+
{
|
| 607 |
+
"epoch": 0.11203751954142782,
|
| 608 |
+
"grad_norm": 1.0692416429519653,
|
| 609 |
+
"learning_rate": 6.361654884537413e-05,
|
| 610 |
+
"loss": 0.8812,
|
| 611 |
+
"step": 86
|
| 612 |
+
},
|
| 613 |
+
{
|
| 614 |
+
"epoch": 0.1133402813965607,
|
| 615 |
+
"grad_norm": 1.1009373664855957,
|
| 616 |
+
"learning_rate": 6.357703237323127e-05,
|
| 617 |
+
"loss": 0.8635,
|
| 618 |
+
"step": 87
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 0.1146430432516936,
|
| 622 |
+
"grad_norm": 1.1628373861312866,
|
| 623 |
+
"learning_rate": 6.353697207657708e-05,
|
| 624 |
+
"loss": 0.8907,
|
| 625 |
+
"step": 88
|
| 626 |
+
},
|
| 627 |
+
{
|
| 628 |
+
"epoch": 0.11594580510682648,
|
| 629 |
+
"grad_norm": 1.1273458003997803,
|
| 630 |
+
"learning_rate": 6.349636865643642e-05,
|
| 631 |
+
"loss": 0.8445,
|
| 632 |
+
"step": 89
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 0.11724856696195936,
|
| 636 |
+
"grad_norm": 1.0971312522888184,
|
| 637 |
+
"learning_rate": 6.345522282333835e-05,
|
| 638 |
+
"loss": 0.8543,
|
| 639 |
+
"step": 90
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 0.11855132881709224,
|
| 643 |
+
"grad_norm": 1.0826351642608643,
|
| 644 |
+
"learning_rate": 6.341353529730374e-05,
|
| 645 |
+
"loss": 0.8605,
|
| 646 |
+
"step": 91
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.11985409067222512,
|
| 650 |
+
"grad_norm": 1.0686413049697876,
|
| 651 |
+
"learning_rate": 6.337130680783273e-05,
|
| 652 |
+
"loss": 0.8814,
|
| 653 |
+
"step": 92
|
| 654 |
+
},
|
| 655 |
+
{
|
| 656 |
+
"epoch": 0.121156852527358,
|
| 657 |
+
"grad_norm": 1.21683931350708,
|
| 658 |
+
"learning_rate": 6.332853809389189e-05,
|
| 659 |
+
"loss": 0.8979,
|
| 660 |
+
"step": 93
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 0.12245961438249088,
|
| 664 |
+
"grad_norm": 1.0884461402893066,
|
| 665 |
+
"learning_rate": 6.328522990390126e-05,
|
| 666 |
+
"loss": 0.8577,
|
| 667 |
+
"step": 94
|
| 668 |
+
},
|
| 669 |
+
{
|
| 670 |
+
"epoch": 0.12376237623762376,
|
| 671 |
+
"grad_norm": 1.047310709953308,
|
| 672 |
+
"learning_rate": 6.324138299572135e-05,
|
| 673 |
+
"loss": 0.8174,
|
| 674 |
+
"step": 95
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 0.12506513809275666,
|
| 678 |
+
"grad_norm": 1.087296485900879,
|
| 679 |
+
"learning_rate": 6.319699813663982e-05,
|
| 680 |
+
"loss": 0.8566,
|
| 681 |
+
"step": 96
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 0.12636789994788952,
|
| 685 |
+
"grad_norm": 1.070327639579773,
|
| 686 |
+
"learning_rate": 6.315207610335808e-05,
|
| 687 |
+
"loss": 0.8615,
|
| 688 |
+
"step": 97
|
| 689 |
+
},
|
| 690 |
+
{
|
| 691 |
+
"epoch": 0.12767066180302242,
|
| 692 |
+
"grad_norm": 1.0299792289733887,
|
| 693 |
+
"learning_rate": 6.310661768197764e-05,
|
| 694 |
+
"loss": 0.866,
|
| 695 |
+
"step": 98
|
| 696 |
+
},
|
| 697 |
+
{
|
| 698 |
+
"epoch": 0.12897342365815528,
|
| 699 |
+
"grad_norm": 1.1011384725570679,
|
| 700 |
+
"learning_rate": 6.306062366798642e-05,
|
| 701 |
+
"loss": 0.8775,
|
| 702 |
+
"step": 99
|
| 703 |
+
},
|
| 704 |
+
{
|
| 705 |
+
"epoch": 0.13027618551328818,
|
| 706 |
+
"grad_norm": 1.0193467140197754,
|
| 707 |
+
"learning_rate": 6.301409486624481e-05,
|
| 708 |
+
"loss": 0.8243,
|
| 709 |
+
"step": 100
|
| 710 |
+
},
|
| 711 |
+
{
|
| 712 |
+
"epoch": 0.13157894736842105,
|
| 713 |
+
"grad_norm": 1.0899205207824707,
|
| 714 |
+
"learning_rate": 6.296703209097159e-05,
|
| 715 |
+
"loss": 0.8849,
|
| 716 |
+
"step": 101
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 0.13288170922355394,
|
| 720 |
+
"grad_norm": 1.0473856925964355,
|
| 721 |
+
"learning_rate": 6.291943616572962e-05,
|
| 722 |
+
"loss": 0.8847,
|
| 723 |
+
"step": 102
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 0.1341844710786868,
|
| 727 |
+
"grad_norm": 0.9922148585319519,
|
| 728 |
+
"learning_rate": 6.287130792341154e-05,
|
| 729 |
+
"loss": 0.8157,
|
| 730 |
+
"step": 103
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"epoch": 0.1354872329338197,
|
| 734 |
+
"grad_norm": 1.0680872201919556,
|
| 735 |
+
"learning_rate": 6.282264820622511e-05,
|
| 736 |
+
"loss": 0.8802,
|
| 737 |
+
"step": 104
|
| 738 |
+
},
|
| 739 |
+
{
|
| 740 |
+
"epoch": 0.13678999478895257,
|
| 741 |
+
"grad_norm": 1.034562587738037,
|
| 742 |
+
"learning_rate": 6.27734578656785e-05,
|
| 743 |
+
"loss": 0.8826,
|
| 744 |
+
"step": 105
|
| 745 |
+
},
|
| 746 |
+
{
|
| 747 |
+
"epoch": 0.13809275664408546,
|
| 748 |
+
"grad_norm": 1.0247395038604736,
|
| 749 |
+
"learning_rate": 6.272373776256536e-05,
|
| 750 |
+
"loss": 0.8535,
|
| 751 |
+
"step": 106
|
| 752 |
+
},
|
| 753 |
+
{
|
| 754 |
+
"epoch": 0.13939551849921833,
|
| 755 |
+
"grad_norm": 1.099061131477356,
|
| 756 |
+
"learning_rate": 6.267348876694983e-05,
|
| 757 |
+
"loss": 0.8583,
|
| 758 |
+
"step": 107
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 0.14069828035435122,
|
| 762 |
+
"grad_norm": 1.0081039667129517,
|
| 763 |
+
"learning_rate": 6.262271175815126e-05,
|
| 764 |
+
"loss": 0.7988,
|
| 765 |
+
"step": 108
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 0.14200104220948412,
|
| 769 |
+
"grad_norm": 1.1140209436416626,
|
| 770 |
+
"learning_rate": 6.257140762472879e-05,
|
| 771 |
+
"loss": 0.8426,
|
| 772 |
+
"step": 109
|
| 773 |
+
},
|
| 774 |
+
{
|
| 775 |
+
"epoch": 0.14330380406461699,
|
| 776 |
+
"grad_norm": 1.0654839277267456,
|
| 777 |
+
"learning_rate": 6.251957726446589e-05,
|
| 778 |
+
"loss": 0.8682,
|
| 779 |
+
"step": 110
|
| 780 |
+
},
|
| 781 |
+
{
|
| 782 |
+
"epoch": 0.14460656591974988,
|
| 783 |
+
"grad_norm": 1.0632318258285522,
|
| 784 |
+
"learning_rate": 6.246722158435455e-05,
|
| 785 |
+
"loss": 0.8379,
|
| 786 |
+
"step": 111
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 0.14590932777488275,
|
| 790 |
+
"grad_norm": 1.0444918870925903,
|
| 791 |
+
"learning_rate": 6.241434150057953e-05,
|
| 792 |
+
"loss": 0.8525,
|
| 793 |
+
"step": 112
|
| 794 |
+
},
|
| 795 |
+
{
|
| 796 |
+
"epoch": 0.14721208963001564,
|
| 797 |
+
"grad_norm": 1.0542877912521362,
|
| 798 |
+
"learning_rate": 6.236093793850217e-05,
|
| 799 |
+
"loss": 0.834,
|
| 800 |
+
"step": 113
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 0.1485148514851485,
|
| 804 |
+
"grad_norm": 0.9843441247940063,
|
| 805 |
+
"learning_rate": 6.230701183264436e-05,
|
| 806 |
+
"loss": 0.7711,
|
| 807 |
+
"step": 114
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 0.1498176133402814,
|
| 811 |
+
"grad_norm": 1.0625543594360352,
|
| 812 |
+
"learning_rate": 6.225256412667207e-05,
|
| 813 |
+
"loss": 0.8169,
|
| 814 |
+
"step": 115
|
| 815 |
+
},
|
| 816 |
+
{
|
| 817 |
+
"epoch": 0.15112037519541427,
|
| 818 |
+
"grad_norm": 1.0951343774795532,
|
| 819 |
+
"learning_rate": 6.219759577337887e-05,
|
| 820 |
+
"loss": 0.9114,
|
| 821 |
+
"step": 116
|
| 822 |
+
},
|
| 823 |
+
{
|
| 824 |
+
"epoch": 0.15242313705054716,
|
| 825 |
+
"grad_norm": 1.0442739725112915,
|
| 826 |
+
"learning_rate": 6.214210773466932e-05,
|
| 827 |
+
"loss": 0.8038,
|
| 828 |
+
"step": 117
|
| 829 |
+
},
|
| 830 |
+
{
|
| 831 |
+
"epoch": 0.15372589890568003,
|
| 832 |
+
"grad_norm": 1.0549882650375366,
|
| 833 |
+
"learning_rate": 6.2086100981542e-05,
|
| 834 |
+
"loss": 0.8677,
|
| 835 |
+
"step": 118
|
| 836 |
+
},
|
| 837 |
+
{
|
| 838 |
+
"epoch": 0.15502866076081293,
|
| 839 |
+
"grad_norm": 1.0807327032089233,
|
| 840 |
+
"learning_rate": 6.202957649407264e-05,
|
| 841 |
+
"loss": 0.8276,
|
| 842 |
+
"step": 119
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 0.1563314226159458,
|
| 846 |
+
"grad_norm": 1.0784152746200562,
|
| 847 |
+
"learning_rate": 6.197253526139696e-05,
|
| 848 |
+
"loss": 0.8823,
|
| 849 |
+
"step": 120
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 0.1576341844710787,
|
| 853 |
+
"grad_norm": 1.076708436012268,
|
| 854 |
+
"learning_rate": 6.191497828169325e-05,
|
| 855 |
+
"loss": 0.842,
|
| 856 |
+
"step": 121
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.15893694632621158,
|
| 860 |
+
"grad_norm": 1.0658226013183594,
|
| 861 |
+
"learning_rate": 6.185690656216507e-05,
|
| 862 |
+
"loss": 0.8626,
|
| 863 |
+
"step": 122
|
| 864 |
+
},
|
| 865 |
+
{
|
| 866 |
+
"epoch": 0.16023970818134445,
|
| 867 |
+
"grad_norm": 1.064942717552185,
|
| 868 |
+
"learning_rate": 6.179832111902348e-05,
|
| 869 |
+
"loss": 0.8735,
|
| 870 |
+
"step": 123
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 0.16154247003647734,
|
| 874 |
+
"grad_norm": 1.0782710313796997,
|
| 875 |
+
"learning_rate": 6.17392229774693e-05,
|
| 876 |
+
"loss": 0.828,
|
| 877 |
+
"step": 124
|
| 878 |
+
},
|
| 879 |
+
{
|
| 880 |
+
"epoch": 0.1628452318916102,
|
| 881 |
+
"grad_norm": 1.0276188850402832,
|
| 882 |
+
"learning_rate": 6.167961317167528e-05,
|
| 883 |
+
"loss": 0.8475,
|
| 884 |
+
"step": 125
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 0.1641479937467431,
|
| 888 |
+
"grad_norm": 1.1249077320098877,
|
| 889 |
+
"learning_rate": 6.161949274476778e-05,
|
| 890 |
+
"loss": 0.9029,
|
| 891 |
+
"step": 126
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 0.16545075560187597,
|
| 895 |
+
"grad_norm": 1.027971863746643,
|
| 896 |
+
"learning_rate": 6.155886274880874e-05,
|
| 897 |
+
"loss": 0.8057,
|
| 898 |
+
"step": 127
|
| 899 |
+
},
|
| 900 |
+
{
|
| 901 |
+
"epoch": 0.16675351745700887,
|
| 902 |
+
"grad_norm": 1.0177087783813477,
|
| 903 |
+
"learning_rate": 6.14977242447771e-05,
|
| 904 |
+
"loss": 0.7928,
|
| 905 |
+
"step": 128
|
| 906 |
+
},
|
| 907 |
+
{
|
| 908 |
+
"epoch": 0.16805627931214173,
|
| 909 |
+
"grad_norm": 1.0410820245742798,
|
| 910 |
+
"learning_rate": 6.143607830255037e-05,
|
| 911 |
+
"loss": 0.8222,
|
| 912 |
+
"step": 129
|
| 913 |
+
},
|
| 914 |
+
{
|
| 915 |
+
"epoch": 0.16935904116727463,
|
| 916 |
+
"grad_norm": 1.086966872215271,
|
| 917 |
+
"learning_rate": 6.137392600088579e-05,
|
| 918 |
+
"loss": 0.837,
|
| 919 |
+
"step": 130
|
| 920 |
+
},
|
| 921 |
+
{
|
| 922 |
+
"epoch": 0.1706618030224075,
|
| 923 |
+
"grad_norm": 1.099645972251892,
|
| 924 |
+
"learning_rate": 6.131126842740155e-05,
|
| 925 |
+
"loss": 0.8604,
|
| 926 |
+
"step": 131
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 0.1719645648775404,
|
| 930 |
+
"grad_norm": 1.0512402057647705,
|
| 931 |
+
"learning_rate": 6.124810667855768e-05,
|
| 932 |
+
"loss": 0.8524,
|
| 933 |
+
"step": 132
|
| 934 |
+
},
|
| 935 |
+
{
|
| 936 |
+
"epoch": 0.17326732673267325,
|
| 937 |
+
"grad_norm": 1.0146111249923706,
|
| 938 |
+
"learning_rate": 6.118444185963691e-05,
|
| 939 |
+
"loss": 0.7948,
|
| 940 |
+
"step": 133
|
| 941 |
+
},
|
| 942 |
+
{
|
| 943 |
+
"epoch": 0.17457008858780615,
|
| 944 |
+
"grad_norm": 1.0564138889312744,
|
| 945 |
+
"learning_rate": 6.112027508472533e-05,
|
| 946 |
+
"loss": 0.8393,
|
| 947 |
+
"step": 134
|
| 948 |
+
},
|
| 949 |
+
{
|
| 950 |
+
"epoch": 0.17587285044293904,
|
| 951 |
+
"grad_norm": 1.1982516050338745,
|
| 952 |
+
"learning_rate": 6.105560747669284e-05,
|
| 953 |
+
"loss": 0.8326,
|
| 954 |
+
"step": 135
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 0.1771756122980719,
|
| 958 |
+
"grad_norm": 1.0336800813674927,
|
| 959 |
+
"learning_rate": 6.0990440167173595e-05,
|
| 960 |
+
"loss": 0.8456,
|
| 961 |
+
"step": 136
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.1784783741532048,
|
| 965 |
+
"grad_norm": 1.0412505865097046,
|
| 966 |
+
"learning_rate": 6.092477429654611e-05,
|
| 967 |
+
"loss": 0.8026,
|
| 968 |
+
"step": 137
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 0.17978113600833767,
|
| 972 |
+
"grad_norm": 1.0531303882598877,
|
| 973 |
+
"learning_rate": 6.085861101391333e-05,
|
| 974 |
+
"loss": 0.8675,
|
| 975 |
+
"step": 138
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 0.18108389786347057,
|
| 979 |
+
"grad_norm": 1.0367439985275269,
|
| 980 |
+
"learning_rate": 6.0791951477082555e-05,
|
| 981 |
+
"loss": 0.8328,
|
| 982 |
+
"step": 139
|
| 983 |
+
},
|
| 984 |
+
{
|
| 985 |
+
"epoch": 0.18238665971860343,
|
| 986 |
+
"grad_norm": 1.057989478111267,
|
| 987 |
+
"learning_rate": 6.072479685254518e-05,
|
| 988 |
+
"loss": 0.8129,
|
| 989 |
+
"step": 140
|
| 990 |
+
},
|
| 991 |
+
{
|
| 992 |
+
"epoch": 0.18368942157373633,
|
| 993 |
+
"grad_norm": 1.1223191022872925,
|
| 994 |
+
"learning_rate": 6.065714831545621e-05,
|
| 995 |
+
"loss": 0.8519,
|
| 996 |
+
"step": 141
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 0.1849921834288692,
|
| 1000 |
+
"grad_norm": 1.0480860471725464,
|
| 1001 |
+
"learning_rate": 6.058900704961377e-05,
|
| 1002 |
+
"loss": 0.8478,
|
| 1003 |
+
"step": 142
|
| 1004 |
+
},
|
| 1005 |
+
{
|
| 1006 |
+
"epoch": 0.1862949452840021,
|
| 1007 |
+
"grad_norm": 1.0725680589675903,
|
| 1008 |
+
"learning_rate": 6.0520374247438375e-05,
|
| 1009 |
+
"loss": 0.8612,
|
| 1010 |
+
"step": 143
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 0.18759770713913496,
|
| 1014 |
+
"grad_norm": 1.0441476106643677,
|
| 1015 |
+
"learning_rate": 6.045125110995204e-05,
|
| 1016 |
+
"loss": 0.8521,
|
| 1017 |
+
"step": 144
|
| 1018 |
+
},
|
| 1019 |
+
{
|
| 1020 |
+
"epoch": 0.18890046899426785,
|
| 1021 |
+
"grad_norm": 1.0792895555496216,
|
| 1022 |
+
"learning_rate": 6.0381638846757264e-05,
|
| 1023 |
+
"loss": 0.8364,
|
| 1024 |
+
"step": 145
|
| 1025 |
+
},
|
| 1026 |
+
{
|
| 1027 |
+
"epoch": 0.19020323084940072,
|
| 1028 |
+
"grad_norm": 1.0203429460525513,
|
| 1029 |
+
"learning_rate": 6.03115386760159e-05,
|
| 1030 |
+
"loss": 0.7973,
|
| 1031 |
+
"step": 146
|
| 1032 |
+
},
|
| 1033 |
+
{
|
| 1034 |
+
"epoch": 0.1915059927045336,
|
| 1035 |
+
"grad_norm": 1.0836308002471924,
|
| 1036 |
+
"learning_rate": 6.024095182442782e-05,
|
| 1037 |
+
"loss": 0.8719,
|
| 1038 |
+
"step": 147
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 0.1928087545596665,
|
| 1042 |
+
"grad_norm": 1.0394123792648315,
|
| 1043 |
+
"learning_rate": 6.016987952720939e-05,
|
| 1044 |
+
"loss": 0.8809,
|
| 1045 |
+
"step": 148
|
| 1046 |
+
},
|
| 1047 |
+
{
|
| 1048 |
+
"epoch": 0.19411151641479937,
|
| 1049 |
+
"grad_norm": 1.0890783071517944,
|
| 1050 |
+
"learning_rate": 6.0098323028071956e-05,
|
| 1051 |
+
"loss": 0.8996,
|
| 1052 |
+
"step": 149
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 0.19541427826993227,
|
| 1056 |
+
"grad_norm": 1.0037873983383179,
|
| 1057 |
+
"learning_rate": 6.002628357920002e-05,
|
| 1058 |
+
"loss": 0.8424,
|
| 1059 |
+
"step": 150
|
| 1060 |
+
},
|
| 1061 |
+
{
|
| 1062 |
+
"epoch": 0.19671704012506513,
|
| 1063 |
+
"grad_norm": 1.0470969676971436,
|
| 1064 |
+
"learning_rate": 5.995376244122935e-05,
|
| 1065 |
+
"loss": 0.8019,
|
| 1066 |
+
"step": 151
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.19801980198019803,
|
| 1070 |
+
"grad_norm": 1.0230716466903687,
|
| 1071 |
+
"learning_rate": 5.988076088322486e-05,
|
| 1072 |
+
"loss": 0.7927,
|
| 1073 |
+
"step": 152
|
| 1074 |
+
},
|
| 1075 |
+
{
|
| 1076 |
+
"epoch": 0.1993225638353309,
|
| 1077 |
+
"grad_norm": 1.0318727493286133,
|
| 1078 |
+
"learning_rate": 5.980728018265849e-05,
|
| 1079 |
+
"loss": 0.803,
|
| 1080 |
+
"step": 153
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 0.2006253256904638,
|
| 1084 |
+
"grad_norm": 1.0479062795639038,
|
| 1085 |
+
"learning_rate": 5.9733321625386824e-05,
|
| 1086 |
+
"loss": 0.8597,
|
| 1087 |
+
"step": 154
|
| 1088 |
+
},
|
| 1089 |
+
{
|
| 1090 |
+
"epoch": 0.20192808754559666,
|
| 1091 |
+
"grad_norm": 1.025315761566162,
|
| 1092 |
+
"learning_rate": 5.965888650562853e-05,
|
| 1093 |
+
"loss": 0.7937,
|
| 1094 |
+
"step": 155
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 0.20323084940072955,
|
| 1098 |
+
"grad_norm": 1.0599974393844604,
|
| 1099 |
+
"learning_rate": 5.958397612594182e-05,
|
| 1100 |
+
"loss": 0.8628,
|
| 1101 |
+
"step": 156
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 0.20453361125586242,
|
| 1105 |
+
"grad_norm": 1.0344469547271729,
|
| 1106 |
+
"learning_rate": 5.950859179720152e-05,
|
| 1107 |
+
"loss": 0.8436,
|
| 1108 |
+
"step": 157
|
| 1109 |
+
},
|
| 1110 |
+
{
|
| 1111 |
+
"epoch": 0.2058363731109953,
|
| 1112 |
+
"grad_norm": 1.1034519672393799,
|
| 1113 |
+
"learning_rate": 5.943273483857627e-05,
|
| 1114 |
+
"loss": 0.8124,
|
| 1115 |
+
"step": 158
|
| 1116 |
+
},
|
| 1117 |
+
{
|
| 1118 |
+
"epoch": 0.20713913496612818,
|
| 1119 |
+
"grad_norm": 1.0487233400344849,
|
| 1120 |
+
"learning_rate": 5.935640657750534e-05,
|
| 1121 |
+
"loss": 0.8337,
|
| 1122 |
+
"step": 159
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 0.20844189682126107,
|
| 1126 |
+
"grad_norm": 1.0436427593231201,
|
| 1127 |
+
"learning_rate": 5.9279608349675444e-05,
|
| 1128 |
+
"loss": 0.8438,
|
| 1129 |
+
"step": 160
|
| 1130 |
+
},
|
| 1131 |
+
{
|
| 1132 |
+
"epoch": 0.20974465867639394,
|
| 1133 |
+
"grad_norm": 1.0612242221832275,
|
| 1134 |
+
"learning_rate": 5.920234149899736e-05,
|
| 1135 |
+
"loss": 0.8735,
|
| 1136 |
+
"step": 161
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 0.21104742053152684,
|
| 1140 |
+
"grad_norm": 1.168532371520996,
|
| 1141 |
+
"learning_rate": 5.912460737758241e-05,
|
| 1142 |
+
"loss": 0.8422,
|
| 1143 |
+
"step": 162
|
| 1144 |
+
},
|
| 1145 |
+
{
|
| 1146 |
+
"epoch": 0.21235018238665973,
|
| 1147 |
+
"grad_norm": 1.0675426721572876,
|
| 1148 |
+
"learning_rate": 5.9046407345718805e-05,
|
| 1149 |
+
"loss": 0.8631,
|
| 1150 |
+
"step": 163
|
| 1151 |
+
},
|
| 1152 |
+
{
|
| 1153 |
+
"epoch": 0.2136529442417926,
|
| 1154 |
+
"grad_norm": 1.048614501953125,
|
| 1155 |
+
"learning_rate": 5.8967742771847826e-05,
|
| 1156 |
+
"loss": 0.8473,
|
| 1157 |
+
"step": 164
|
| 1158 |
+
},
|
| 1159 |
+
{
|
| 1160 |
+
"epoch": 0.2149557060969255,
|
| 1161 |
+
"grad_norm": 1.0362776517868042,
|
| 1162 |
+
"learning_rate": 5.888861503253989e-05,
|
| 1163 |
+
"loss": 0.8888,
|
| 1164 |
+
"step": 165
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 0.21625846795205836,
|
| 1168 |
+
"grad_norm": 0.9976462721824646,
|
| 1169 |
+
"learning_rate": 5.8809025512470445e-05,
|
| 1170 |
+
"loss": 0.8079,
|
| 1171 |
+
"step": 166
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.21756122980719125,
|
| 1175 |
+
"grad_norm": 1.0061395168304443,
|
| 1176 |
+
"learning_rate": 5.87289756043958e-05,
|
| 1177 |
+
"loss": 0.7954,
|
| 1178 |
+
"step": 167
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 0.21886399166232412,
|
| 1182 |
+
"grad_norm": 1.0533777475357056,
|
| 1183 |
+
"learning_rate": 5.864846670912864e-05,
|
| 1184 |
+
"loss": 0.8089,
|
| 1185 |
+
"step": 168
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 0.22016675351745701,
|
| 1189 |
+
"grad_norm": 0.9939700365066528,
|
| 1190 |
+
"learning_rate": 5.856750023551361e-05,
|
| 1191 |
+
"loss": 0.8176,
|
| 1192 |
+
"step": 169
|
| 1193 |
+
},
|
| 1194 |
+
{
|
| 1195 |
+
"epoch": 0.22146951537258988,
|
| 1196 |
+
"grad_norm": 1.0513004064559937,
|
| 1197 |
+
"learning_rate": 5.848607760040267e-05,
|
| 1198 |
+
"loss": 0.8602,
|
| 1199 |
+
"step": 170
|
| 1200 |
+
},
|
| 1201 |
+
{
|
| 1202 |
+
"epoch": 0.22277227722772278,
|
| 1203 |
+
"grad_norm": 1.055511713027954,
|
| 1204 |
+
"learning_rate": 5.840420022863016e-05,
|
| 1205 |
+
"loss": 0.8511,
|
| 1206 |
+
"step": 171
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 0.22407503908285564,
|
| 1210 |
+
"grad_norm": 1.0215332508087158,
|
| 1211 |
+
"learning_rate": 5.832186955298808e-05,
|
| 1212 |
+
"loss": 0.8233,
|
| 1213 |
+
"step": 172
|
| 1214 |
+
},
|
| 1215 |
+
{
|
| 1216 |
+
"epoch": 0.22537780093798854,
|
| 1217 |
+
"grad_norm": 1.018233299255371,
|
| 1218 |
+
"learning_rate": 5.8239087014200806e-05,
|
| 1219 |
+
"loss": 0.8354,
|
| 1220 |
+
"step": 173
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 0.2266805627931214,
|
| 1224 |
+
"grad_norm": 1.0055863857269287,
|
| 1225 |
+
"learning_rate": 5.815585406090005e-05,
|
| 1226 |
+
"loss": 0.8488,
|
| 1227 |
+
"step": 174
|
| 1228 |
+
},
|
| 1229 |
+
{
|
| 1230 |
+
"epoch": 0.2279833246482543,
|
| 1231 |
+
"grad_norm": 1.008152961730957,
|
| 1232 |
+
"learning_rate": 5.8072172149599394e-05,
|
| 1233 |
+
"loss": 0.7623,
|
| 1234 |
+
"step": 175
|
| 1235 |
+
},
|
| 1236 |
+
{
|
| 1237 |
+
"epoch": 0.2292860865033872,
|
| 1238 |
+
"grad_norm": 1.0418919324874878,
|
| 1239 |
+
"learning_rate": 5.7988042744668856e-05,
|
| 1240 |
+
"loss": 0.8109,
|
| 1241 |
+
"step": 176
|
| 1242 |
+
},
|
| 1243 |
+
{
|
| 1244 |
+
"epoch": 0.23058884835852006,
|
| 1245 |
+
"grad_norm": 1.0832551717758179,
|
| 1246 |
+
"learning_rate": 5.790346731830927e-05,
|
| 1247 |
+
"loss": 0.8951,
|
| 1248 |
+
"step": 177
|
| 1249 |
+
},
|
| 1250 |
+
{
|
| 1251 |
+
"epoch": 0.23189161021365295,
|
| 1252 |
+
"grad_norm": 1.0513347387313843,
|
| 1253 |
+
"learning_rate": 5.7818447350526476e-05,
|
| 1254 |
+
"loss": 0.8598,
|
| 1255 |
+
"step": 178
|
| 1256 |
+
},
|
| 1257 |
+
{
|
| 1258 |
+
"epoch": 0.23319437206878582,
|
| 1259 |
+
"grad_norm": 0.9888846278190613,
|
| 1260 |
+
"learning_rate": 5.7732984329105484e-05,
|
| 1261 |
+
"loss": 0.746,
|
| 1262 |
+
"step": 179
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 0.23449713392391872,
|
| 1266 |
+
"grad_norm": 1.0668085813522339,
|
| 1267 |
+
"learning_rate": 5.764707974958437e-05,
|
| 1268 |
+
"loss": 0.8039,
|
| 1269 |
+
"step": 180
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 0.23579989577905158,
|
| 1273 |
+
"grad_norm": 1.0392318964004517,
|
| 1274 |
+
"learning_rate": 5.7560735115228195e-05,
|
| 1275 |
+
"loss": 0.8155,
|
| 1276 |
+
"step": 181
|
| 1277 |
+
},
|
| 1278 |
+
{
|
| 1279 |
+
"epoch": 0.23710265763418448,
|
| 1280 |
+
"grad_norm": 1.052474021911621,
|
| 1281 |
+
"learning_rate": 5.7473951937002576e-05,
|
| 1282 |
+
"loss": 0.8215,
|
| 1283 |
+
"step": 182
|
| 1284 |
+
},
|
| 1285 |
+
{
|
| 1286 |
+
"epoch": 0.23840541948931734,
|
| 1287 |
+
"grad_norm": 1.067699670791626,
|
| 1288 |
+
"learning_rate": 5.738673173354739e-05,
|
| 1289 |
+
"loss": 0.8259,
|
| 1290 |
+
"step": 183
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 0.23970818134445024,
|
| 1294 |
+
"grad_norm": 1.042398452758789,
|
| 1295 |
+
"learning_rate": 5.729907603115005e-05,
|
| 1296 |
+
"loss": 0.8086,
|
| 1297 |
+
"step": 184
|
| 1298 |
+
},
|
| 1299 |
+
{
|
| 1300 |
+
"epoch": 0.2410109431995831,
|
| 1301 |
+
"grad_norm": 1.0346574783325195,
|
| 1302 |
+
"learning_rate": 5.721098636371894e-05,
|
| 1303 |
+
"loss": 0.8184,
|
| 1304 |
+
"step": 185
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 0.242313705054716,
|
| 1308 |
+
"grad_norm": 1.0383342504501343,
|
| 1309 |
+
"learning_rate": 5.712246427275646e-05,
|
| 1310 |
+
"loss": 0.8543,
|
| 1311 |
+
"step": 186
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 0.24361646690984887,
|
| 1315 |
+
"grad_norm": 1.0456079244613647,
|
| 1316 |
+
"learning_rate": 5.703351130733211e-05,
|
| 1317 |
+
"loss": 0.8244,
|
| 1318 |
+
"step": 187
|
| 1319 |
+
},
|
| 1320 |
+
{
|
| 1321 |
+
"epoch": 0.24491922876498176,
|
| 1322 |
+
"grad_norm": 0.9899833798408508,
|
| 1323 |
+
"learning_rate": 5.694412902405535e-05,
|
| 1324 |
+
"loss": 0.7916,
|
| 1325 |
+
"step": 188
|
| 1326 |
+
},
|
| 1327 |
+
{
|
| 1328 |
+
"epoch": 0.24622199062011466,
|
| 1329 |
+
"grad_norm": 1.1231224536895752,
|
| 1330 |
+
"learning_rate": 5.685431898704839e-05,
|
| 1331 |
+
"loss": 0.7904,
|
| 1332 |
+
"step": 189
|
| 1333 |
+
},
|
| 1334 |
+
{
|
| 1335 |
+
"epoch": 0.24752475247524752,
|
| 1336 |
+
"grad_norm": 1.0400362014770508,
|
| 1337 |
+
"learning_rate": 5.676408276791882e-05,
|
| 1338 |
+
"loss": 0.845,
|
| 1339 |
+
"step": 190
|
| 1340 |
+
},
|
| 1341 |
+
{
|
| 1342 |
+
"epoch": 0.24882751433038042,
|
| 1343 |
+
"grad_norm": 1.0910183191299438,
|
| 1344 |
+
"learning_rate": 5.6673421945732075e-05,
|
| 1345 |
+
"loss": 0.8293,
|
| 1346 |
+
"step": 191
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 0.2501302761855133,
|
| 1350 |
+
"grad_norm": 1.0755969285964966,
|
| 1351 |
+
"learning_rate": 5.658233810698381e-05,
|
| 1352 |
+
"loss": 0.83,
|
| 1353 |
+
"step": 192
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 0.25143303804064615,
|
| 1357 |
+
"grad_norm": 1.0231711864471436,
|
| 1358 |
+
"learning_rate": 5.649083284557219e-05,
|
| 1359 |
+
"loss": 0.8442,
|
| 1360 |
+
"step": 193
|
| 1361 |
+
},
|
| 1362 |
+
{
|
| 1363 |
+
"epoch": 0.25273579989577905,
|
| 1364 |
+
"grad_norm": 1.0368572473526,
|
| 1365 |
+
"learning_rate": 5.639890776276991e-05,
|
| 1366 |
+
"loss": 0.8574,
|
| 1367 |
+
"step": 194
|
| 1368 |
+
},
|
| 1369 |
+
{
|
| 1370 |
+
"epoch": 0.25403856175091194,
|
| 1371 |
+
"grad_norm": 1.0136909484863281,
|
| 1372 |
+
"learning_rate": 5.630656446719626e-05,
|
| 1373 |
+
"loss": 0.8151,
|
| 1374 |
+
"step": 195
|
| 1375 |
+
},
|
| 1376 |
+
{
|
| 1377 |
+
"epoch": 0.25534132360604483,
|
| 1378 |
+
"grad_norm": 1.0600650310516357,
|
| 1379 |
+
"learning_rate": 5.621380457478889e-05,
|
| 1380 |
+
"loss": 0.7792,
|
| 1381 |
+
"step": 196
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 0.2566440854611777,
|
| 1385 |
+
"grad_norm": 1.0362857580184937,
|
| 1386 |
+
"learning_rate": 5.612062970877565e-05,
|
| 1387 |
+
"loss": 0.8246,
|
| 1388 |
+
"step": 197
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 0.25794684731631057,
|
| 1392 |
+
"grad_norm": 1.0172935724258423,
|
| 1393 |
+
"learning_rate": 5.602704149964604e-05,
|
| 1394 |
+
"loss": 0.8196,
|
| 1395 |
+
"step": 198
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 0.25924960917144346,
|
| 1399 |
+
"grad_norm": 1.0049176216125488,
|
| 1400 |
+
"learning_rate": 5.5933041585122805e-05,
|
| 1401 |
+
"loss": 0.8229,
|
| 1402 |
+
"step": 199
|
| 1403 |
+
},
|
| 1404 |
+
{
|
| 1405 |
+
"epoch": 0.26055237102657636,
|
| 1406 |
+
"grad_norm": 1.0751328468322754,
|
| 1407 |
+
"learning_rate": 5.5838631610133196e-05,
|
| 1408 |
+
"loss": 0.8456,
|
| 1409 |
+
"step": 200
|
| 1410 |
+
},
|
| 1411 |
+
{
|
| 1412 |
+
"epoch": 0.2618551328817092,
|
| 1413 |
+
"grad_norm": 1.0684475898742676,
|
| 1414 |
+
"learning_rate": 5.57438132267802e-05,
|
| 1415 |
+
"loss": 0.8607,
|
| 1416 |
+
"step": 201
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 0.2631578947368421,
|
| 1420 |
+
"grad_norm": 1.029704213142395,
|
| 1421 |
+
"learning_rate": 5.564858809431367e-05,
|
| 1422 |
+
"loss": 0.7801,
|
| 1423 |
+
"step": 202
|
| 1424 |
+
},
|
| 1425 |
+
{
|
| 1426 |
+
"epoch": 0.264460656591975,
|
| 1427 |
+
"grad_norm": 1.044959306716919,
|
| 1428 |
+
"learning_rate": 5.5552957879101246e-05,
|
| 1429 |
+
"loss": 0.8379,
|
| 1430 |
+
"step": 203
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 0.2657634184471079,
|
| 1434 |
+
"grad_norm": 1.030415654182434,
|
| 1435 |
+
"learning_rate": 5.545692425459921e-05,
|
| 1436 |
+
"loss": 0.8705,
|
| 1437 |
+
"step": 204
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 0.2670661803022408,
|
| 1441 |
+
"grad_norm": 1.0018935203552246,
|
| 1442 |
+
"learning_rate": 5.5360488901323206e-05,
|
| 1443 |
+
"loss": 0.8122,
|
| 1444 |
+
"step": 205
|
| 1445 |
+
},
|
| 1446 |
+
{
|
| 1447 |
+
"epoch": 0.2683689421573736,
|
| 1448 |
+
"grad_norm": 1.0166568756103516,
|
| 1449 |
+
"learning_rate": 5.526365350681881e-05,
|
| 1450 |
+
"loss": 0.8171,
|
| 1451 |
+
"step": 206
|
| 1452 |
+
},
|
| 1453 |
+
{
|
| 1454 |
+
"epoch": 0.2696717040125065,
|
| 1455 |
+
"grad_norm": 1.0195856094360352,
|
| 1456 |
+
"learning_rate": 5.516641976563204e-05,
|
| 1457 |
+
"loss": 0.8496,
|
| 1458 |
+
"step": 207
|
| 1459 |
+
},
|
| 1460 |
+
{
|
| 1461 |
+
"epoch": 0.2709744658676394,
|
| 1462 |
+
"grad_norm": 0.985876739025116,
|
| 1463 |
+
"learning_rate": 5.506878937927966e-05,
|
| 1464 |
+
"loss": 0.801,
|
| 1465 |
+
"step": 208
|
| 1466 |
+
},
|
| 1467 |
+
{
|
| 1468 |
+
"epoch": 0.2722772277227723,
|
| 1469 |
+
"grad_norm": 1.0150160789489746,
|
| 1470 |
+
"learning_rate": 5.497076405621944e-05,
|
| 1471 |
+
"loss": 0.784,
|
| 1472 |
+
"step": 209
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 0.27357998957790514,
|
| 1476 |
+
"grad_norm": 1.095823884010315,
|
| 1477 |
+
"learning_rate": 5.487234551182022e-05,
|
| 1478 |
+
"loss": 0.8957,
|
| 1479 |
+
"step": 210
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 0.27488275143303803,
|
| 1483 |
+
"grad_norm": 1.033151388168335,
|
| 1484 |
+
"learning_rate": 5.477353546833193e-05,
|
| 1485 |
+
"loss": 0.8346,
|
| 1486 |
+
"step": 211
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 0.2761855132881709,
|
| 1490 |
+
"grad_norm": 0.982230007648468,
|
| 1491 |
+
"learning_rate": 5.467433565485546e-05,
|
| 1492 |
+
"loss": 0.7826,
|
| 1493 |
+
"step": 212
|
| 1494 |
+
},
|
| 1495 |
+
{
|
| 1496 |
+
"epoch": 0.2774882751433038,
|
| 1497 |
+
"grad_norm": 0.9829743504524231,
|
| 1498 |
+
"learning_rate": 5.4574747807312326e-05,
|
| 1499 |
+
"loss": 0.791,
|
| 1500 |
+
"step": 213
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 0.27879103699843666,
|
| 1504 |
+
"grad_norm": 1.0257138013839722,
|
| 1505 |
+
"learning_rate": 5.4474773668414395e-05,
|
| 1506 |
+
"loss": 0.8498,
|
| 1507 |
+
"step": 214
|
| 1508 |
+
},
|
| 1509 |
+
{
|
| 1510 |
+
"epoch": 0.28009379885356955,
|
| 1511 |
+
"grad_norm": 1.0054680109024048,
|
| 1512 |
+
"learning_rate": 5.437441498763332e-05,
|
| 1513 |
+
"loss": 0.8365,
|
| 1514 |
+
"step": 215
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 0.28139656070870245,
|
| 1518 |
+
"grad_norm": 1.0021213293075562,
|
| 1519 |
+
"learning_rate": 5.427367352116993e-05,
|
| 1520 |
+
"loss": 0.8313,
|
| 1521 |
+
"step": 216
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 0.28269932256383534,
|
| 1525 |
+
"grad_norm": 1.0124083757400513,
|
| 1526 |
+
"learning_rate": 5.417255103192355e-05,
|
| 1527 |
+
"loss": 0.81,
|
| 1528 |
+
"step": 217
|
| 1529 |
+
},
|
| 1530 |
+
{
|
| 1531 |
+
"epoch": 0.28400208441896824,
|
| 1532 |
+
"grad_norm": 1.0104458332061768,
|
| 1533 |
+
"learning_rate": 5.407104928946109e-05,
|
| 1534 |
+
"loss": 0.7821,
|
| 1535 |
+
"step": 218
|
| 1536 |
+
},
|
| 1537 |
+
{
|
| 1538 |
+
"epoch": 0.2853048462741011,
|
| 1539 |
+
"grad_norm": 1.0982369184494019,
|
| 1540 |
+
"learning_rate": 5.39691700699861e-05,
|
| 1541 |
+
"loss": 0.8512,
|
| 1542 |
+
"step": 219
|
| 1543 |
+
},
|
| 1544 |
+
{
|
| 1545 |
+
"epoch": 0.28660760812923397,
|
| 1546 |
+
"grad_norm": 1.0122724771499634,
|
| 1547 |
+
"learning_rate": 5.386691515630771e-05,
|
| 1548 |
+
"loss": 0.8634,
|
| 1549 |
+
"step": 220
|
| 1550 |
+
},
|
| 1551 |
+
{
|
| 1552 |
+
"epoch": 0.28791036998436687,
|
| 1553 |
+
"grad_norm": 1.0455682277679443,
|
| 1554 |
+
"learning_rate": 5.376428633780941e-05,
|
| 1555 |
+
"loss": 0.8399,
|
| 1556 |
+
"step": 221
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 0.28921313183949976,
|
| 1560 |
+
"grad_norm": 0.9880922436714172,
|
| 1561 |
+
"learning_rate": 5.3661285410417705e-05,
|
| 1562 |
+
"loss": 0.8044,
|
| 1563 |
+
"step": 222
|
| 1564 |
+
},
|
| 1565 |
+
{
|
| 1566 |
+
"epoch": 0.2905158936946326,
|
| 1567 |
+
"grad_norm": 1.0006861686706543,
|
| 1568 |
+
"learning_rate": 5.355791417657078e-05,
|
| 1569 |
+
"loss": 0.7957,
|
| 1570 |
+
"step": 223
|
| 1571 |
+
},
|
| 1572 |
+
{
|
| 1573 |
+
"epoch": 0.2918186555497655,
|
| 1574 |
+
"grad_norm": 1.0367894172668457,
|
| 1575 |
+
"learning_rate": 5.345417444518687e-05,
|
| 1576 |
+
"loss": 0.8207,
|
| 1577 |
+
"step": 224
|
| 1578 |
+
},
|
| 1579 |
+
{
|
| 1580 |
+
"epoch": 0.2931214174048984,
|
| 1581 |
+
"grad_norm": 1.0520100593566895,
|
| 1582 |
+
"learning_rate": 5.335006803163265e-05,
|
| 1583 |
+
"loss": 0.8586,
|
| 1584 |
+
"step": 225
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 0.2944241792600313,
|
| 1588 |
+
"grad_norm": 1.0345007181167603,
|
| 1589 |
+
"learning_rate": 5.3245596757691435e-05,
|
| 1590 |
+
"loss": 0.8362,
|
| 1591 |
+
"step": 226
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 0.2957269411151641,
|
| 1595 |
+
"grad_norm": 1.0230737924575806,
|
| 1596 |
+
"learning_rate": 5.3140762451531344e-05,
|
| 1597 |
+
"loss": 0.8482,
|
| 1598 |
+
"step": 227
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 0.297029702970297,
|
| 1602 |
+
"grad_norm": 0.9852018356323242,
|
| 1603 |
+
"learning_rate": 5.303556694767326e-05,
|
| 1604 |
+
"loss": 0.8661,
|
| 1605 |
+
"step": 228
|
| 1606 |
+
},
|
| 1607 |
+
{
|
| 1608 |
+
"epoch": 0.2983324648254299,
|
| 1609 |
+
"grad_norm": 0.9801431894302368,
|
| 1610 |
+
"learning_rate": 5.2930012086958783e-05,
|
| 1611 |
+
"loss": 0.8702,
|
| 1612 |
+
"step": 229
|
| 1613 |
+
},
|
| 1614 |
+
{
|
| 1615 |
+
"epoch": 0.2996352266805628,
|
| 1616 |
+
"grad_norm": 1.0442442893981934,
|
| 1617 |
+
"learning_rate": 5.282409971651797e-05,
|
| 1618 |
+
"loss": 0.8566,
|
| 1619 |
+
"step": 230
|
| 1620 |
+
},
|
| 1621 |
+
{
|
| 1622 |
+
"epoch": 0.3009379885356957,
|
| 1623 |
+
"grad_norm": 1.103188157081604,
|
| 1624 |
+
"learning_rate": 5.271783168973701e-05,
|
| 1625 |
+
"loss": 0.8206,
|
| 1626 |
+
"step": 231
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 0.30224075039082854,
|
| 1630 |
+
"grad_norm": 1.0066590309143066,
|
| 1631 |
+
"learning_rate": 5.261120986622583e-05,
|
| 1632 |
+
"loss": 0.8369,
|
| 1633 |
+
"step": 232
|
| 1634 |
+
},
|
| 1635 |
+
{
|
| 1636 |
+
"epoch": 0.30354351224596143,
|
| 1637 |
+
"grad_norm": 0.9748640060424805,
|
| 1638 |
+
"learning_rate": 5.250423611178553e-05,
|
| 1639 |
+
"loss": 0.7792,
|
| 1640 |
+
"step": 233
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 0.30484627410109433,
|
| 1644 |
+
"grad_norm": 1.0654217004776,
|
| 1645 |
+
"learning_rate": 5.239691229837573e-05,
|
| 1646 |
+
"loss": 0.8242,
|
| 1647 |
+
"step": 234
|
| 1648 |
+
},
|
| 1649 |
+
{
|
| 1650 |
+
"epoch": 0.3061490359562272,
|
| 1651 |
+
"grad_norm": 1.0146901607513428,
|
| 1652 |
+
"learning_rate": 5.228924030408182e-05,
|
| 1653 |
+
"loss": 0.8166,
|
| 1654 |
+
"step": 235
|
| 1655 |
+
},
|
| 1656 |
+
{
|
| 1657 |
+
"epoch": 0.30745179781136006,
|
| 1658 |
+
"grad_norm": 1.0119966268539429,
|
| 1659 |
+
"learning_rate": 5.218122201308209e-05,
|
| 1660 |
+
"loss": 0.8074,
|
| 1661 |
+
"step": 236
|
| 1662 |
+
},
|
| 1663 |
+
{
|
| 1664 |
+
"epoch": 0.30875455966649296,
|
| 1665 |
+
"grad_norm": 1.0073226690292358,
|
| 1666 |
+
"learning_rate": 5.207285931561475e-05,
|
| 1667 |
+
"loss": 0.8292,
|
| 1668 |
+
"step": 237
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 0.31005732152162585,
|
| 1672 |
+
"grad_norm": 1.0207470655441284,
|
| 1673 |
+
"learning_rate": 5.1964154107944876e-05,
|
| 1674 |
+
"loss": 0.8245,
|
| 1675 |
+
"step": 238
|
| 1676 |
+
},
|
| 1677 |
+
{
|
| 1678 |
+
"epoch": 0.31136008337675875,
|
| 1679 |
+
"grad_norm": 0.9803332090377808,
|
| 1680 |
+
"learning_rate": 5.185510829233121e-05,
|
| 1681 |
+
"loss": 0.774,
|
| 1682 |
+
"step": 239
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 0.3126628452318916,
|
| 1686 |
+
"grad_norm": 1.0056718587875366,
|
| 1687 |
+
"learning_rate": 5.174572377699286e-05,
|
| 1688 |
+
"loss": 0.8308,
|
| 1689 |
+
"step": 240
|
| 1690 |
+
},
|
| 1691 |
+
{
|
| 1692 |
+
"epoch": 0.3139656070870245,
|
| 1693 |
+
"grad_norm": 0.9751390218734741,
|
| 1694 |
+
"learning_rate": 5.163600247607596e-05,
|
| 1695 |
+
"loss": 0.7648,
|
| 1696 |
+
"step": 241
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 0.3152683689421574,
|
| 1700 |
+
"grad_norm": 1.0351225137710571,
|
| 1701 |
+
"learning_rate": 5.152594630962008e-05,
|
| 1702 |
+
"loss": 0.7695,
|
| 1703 |
+
"step": 242
|
| 1704 |
+
},
|
| 1705 |
+
{
|
| 1706 |
+
"epoch": 0.31657113079729027,
|
| 1707 |
+
"grad_norm": 1.0021389722824097,
|
| 1708 |
+
"learning_rate": 5.1415557203524736e-05,
|
| 1709 |
+
"loss": 0.8158,
|
| 1710 |
+
"step": 243
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 0.31787389265242316,
|
| 1714 |
+
"grad_norm": 1.0016628503799438,
|
| 1715 |
+
"learning_rate": 5.130483708951561e-05,
|
| 1716 |
+
"loss": 0.793,
|
| 1717 |
+
"step": 244
|
| 1718 |
+
},
|
| 1719 |
+
{
|
| 1720 |
+
"epoch": 0.319176654507556,
|
| 1721 |
+
"grad_norm": 1.008516788482666,
|
| 1722 |
+
"learning_rate": 5.119378790511079e-05,
|
| 1723 |
+
"loss": 0.8143,
|
| 1724 |
+
"step": 245
|
| 1725 |
+
},
|
| 1726 |
+
{
|
| 1727 |
+
"epoch": 0.3204794163626889,
|
| 1728 |
+
"grad_norm": 1.0514389276504517,
|
| 1729 |
+
"learning_rate": 5.108241159358679e-05,
|
| 1730 |
+
"loss": 0.7945,
|
| 1731 |
+
"step": 246
|
| 1732 |
+
},
|
| 1733 |
+
{
|
| 1734 |
+
"epoch": 0.3217821782178218,
|
| 1735 |
+
"grad_norm": 0.9676159024238586,
|
| 1736 |
+
"learning_rate": 5.097071010394469e-05,
|
| 1737 |
+
"loss": 0.7912,
|
| 1738 |
+
"step": 247
|
| 1739 |
+
},
|
| 1740 |
+
{
|
| 1741 |
+
"epoch": 0.3230849400729547,
|
| 1742 |
+
"grad_norm": 1.0046639442443848,
|
| 1743 |
+
"learning_rate": 5.085868539087586e-05,
|
| 1744 |
+
"loss": 0.8136,
|
| 1745 |
+
"step": 248
|
| 1746 |
+
},
|
| 1747 |
+
{
|
| 1748 |
+
"epoch": 0.3243877019280875,
|
| 1749 |
+
"grad_norm": 0.993964433670044,
|
| 1750 |
+
"learning_rate": 5.074633941472788e-05,
|
| 1751 |
+
"loss": 0.7893,
|
| 1752 |
+
"step": 249
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 0.3256904637832204,
|
| 1756 |
+
"grad_norm": 0.9951984286308289,
|
| 1757 |
+
"learning_rate": 5.0633674141470194e-05,
|
| 1758 |
+
"loss": 0.7463,
|
| 1759 |
+
"step": 250
|
| 1760 |
+
},
|
| 1761 |
+
{
|
| 1762 |
+
"epoch": 0.3269932256383533,
|
| 1763 |
+
"grad_norm": 0.9659764766693115,
|
| 1764 |
+
"learning_rate": 5.0520691542659655e-05,
|
| 1765 |
+
"loss": 0.8079,
|
| 1766 |
+
"step": 251
|
| 1767 |
+
},
|
| 1768 |
+
{
|
| 1769 |
+
"epoch": 0.3282959874934862,
|
| 1770 |
+
"grad_norm": 1.006102442741394,
|
| 1771 |
+
"learning_rate": 5.0407393595406125e-05,
|
| 1772 |
+
"loss": 0.7864,
|
| 1773 |
+
"step": 252
|
| 1774 |
+
},
|
| 1775 |
+
{
|
| 1776 |
+
"epoch": 0.32959874934861905,
|
| 1777 |
+
"grad_norm": 0.9752157330513,
|
| 1778 |
+
"learning_rate": 5.029378228233782e-05,
|
| 1779 |
+
"loss": 0.7683,
|
| 1780 |
+
"step": 253
|
| 1781 |
+
},
|
| 1782 |
+
{
|
| 1783 |
+
"epoch": 0.33090151120375194,
|
| 1784 |
+
"grad_norm": 1.0095077753067017,
|
| 1785 |
+
"learning_rate": 5.0179859591566575e-05,
|
| 1786 |
+
"loss": 0.8504,
|
| 1787 |
+
"step": 254
|
| 1788 |
+
},
|
| 1789 |
+
{
|
| 1790 |
+
"epoch": 0.33220427305888484,
|
| 1791 |
+
"grad_norm": 1.0161761045455933,
|
| 1792 |
+
"learning_rate": 5.0065627516653145e-05,
|
| 1793 |
+
"loss": 0.8308,
|
| 1794 |
+
"step": 255
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 0.33350703491401773,
|
| 1798 |
+
"grad_norm": 0.9710779190063477,
|
| 1799 |
+
"learning_rate": 4.995108805657226e-05,
|
| 1800 |
+
"loss": 0.7761,
|
| 1801 |
+
"step": 256
|
| 1802 |
+
},
|
| 1803 |
+
{
|
| 1804 |
+
"epoch": 0.3348097967691506,
|
| 1805 |
+
"grad_norm": 1.0192509889602661,
|
| 1806 |
+
"learning_rate": 4.983624321567764e-05,
|
| 1807 |
+
"loss": 0.7955,
|
| 1808 |
+
"step": 257
|
| 1809 |
+
},
|
| 1810 |
+
{
|
| 1811 |
+
"epoch": 0.33611255862428346,
|
| 1812 |
+
"grad_norm": 1.0141615867614746,
|
| 1813 |
+
"learning_rate": 4.972109500366698e-05,
|
| 1814 |
+
"loss": 0.8243,
|
| 1815 |
+
"step": 258
|
| 1816 |
+
},
|
| 1817 |
+
{
|
| 1818 |
+
"epoch": 0.33741532047941636,
|
| 1819 |
+
"grad_norm": 1.0046883821487427,
|
| 1820 |
+
"learning_rate": 4.9605645435546694e-05,
|
| 1821 |
+
"loss": 0.8272,
|
| 1822 |
+
"step": 259
|
| 1823 |
+
},
|
| 1824 |
+
{
|
| 1825 |
+
"epoch": 0.33871808233454925,
|
| 1826 |
+
"grad_norm": 1.031710147857666,
|
| 1827 |
+
"learning_rate": 4.948989653159671e-05,
|
| 1828 |
+
"loss": 0.8187,
|
| 1829 |
+
"step": 260
|
| 1830 |
+
},
|
| 1831 |
+
{
|
| 1832 |
+
"epoch": 0.34002084418968215,
|
| 1833 |
+
"grad_norm": 0.9797648787498474,
|
| 1834 |
+
"learning_rate": 4.937385031733513e-05,
|
| 1835 |
+
"loss": 0.8062,
|
| 1836 |
+
"step": 261
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 0.341323606044815,
|
| 1840 |
+
"grad_norm": 0.9559136629104614,
|
| 1841 |
+
"learning_rate": 4.925750882348274e-05,
|
| 1842 |
+
"loss": 0.7627,
|
| 1843 |
+
"step": 262
|
| 1844 |
+
},
|
| 1845 |
+
{
|
| 1846 |
+
"epoch": 0.3426263678999479,
|
| 1847 |
+
"grad_norm": 1.0041617155075073,
|
| 1848 |
+
"learning_rate": 4.9140874085927486e-05,
|
| 1849 |
+
"loss": 0.821,
|
| 1850 |
+
"step": 263
|
| 1851 |
+
},
|
| 1852 |
+
{
|
| 1853 |
+
"epoch": 0.3439291297550808,
|
| 1854 |
+
"grad_norm": 1.0307433605194092,
|
| 1855 |
+
"learning_rate": 4.9023948145688896e-05,
|
| 1856 |
+
"loss": 0.7842,
|
| 1857 |
+
"step": 264
|
| 1858 |
+
},
|
| 1859 |
+
{
|
| 1860 |
+
"epoch": 0.34523189161021367,
|
| 1861 |
+
"grad_norm": 0.9956508874893188,
|
| 1862 |
+
"learning_rate": 4.8906733048882286e-05,
|
| 1863 |
+
"loss": 0.8067,
|
| 1864 |
+
"step": 265
|
| 1865 |
+
},
|
| 1866 |
+
{
|
| 1867 |
+
"epoch": 0.3465346534653465,
|
| 1868 |
+
"grad_norm": 1.0119211673736572,
|
| 1869 |
+
"learning_rate": 4.878923084668299e-05,
|
| 1870 |
+
"loss": 0.8037,
|
| 1871 |
+
"step": 266
|
| 1872 |
+
},
|
| 1873 |
+
{
|
| 1874 |
+
"epoch": 0.3478374153204794,
|
| 1875 |
+
"grad_norm": 1.353070855140686,
|
| 1876 |
+
"learning_rate": 4.867144359529053e-05,
|
| 1877 |
+
"loss": 0.8174,
|
| 1878 |
+
"step": 267
|
| 1879 |
+
},
|
| 1880 |
+
{
|
| 1881 |
+
"epoch": 0.3491401771756123,
|
| 1882 |
+
"grad_norm": 1.0314981937408447,
|
| 1883 |
+
"learning_rate": 4.855337335589247e-05,
|
| 1884 |
+
"loss": 0.8061,
|
| 1885 |
+
"step": 268
|
| 1886 |
+
},
|
| 1887 |
+
{
|
| 1888 |
+
"epoch": 0.3504429390307452,
|
| 1889 |
+
"grad_norm": 1.0623273849487305,
|
| 1890 |
+
"learning_rate": 4.8435022194628533e-05,
|
| 1891 |
+
"loss": 0.8216,
|
| 1892 |
+
"step": 269
|
| 1893 |
+
},
|
| 1894 |
+
{
|
| 1895 |
+
"epoch": 0.3517457008858781,
|
| 1896 |
+
"grad_norm": 0.9801738858222961,
|
| 1897 |
+
"learning_rate": 4.831639218255434e-05,
|
| 1898 |
+
"loss": 0.8048,
|
| 1899 |
+
"step": 270
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 0.3530484627410109,
|
| 1903 |
+
"grad_norm": 0.9815056324005127,
|
| 1904 |
+
"learning_rate": 4.8197485395605186e-05,
|
| 1905 |
+
"loss": 0.8232,
|
| 1906 |
+
"step": 271
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 0.3543512245961438,
|
| 1910 |
+
"grad_norm": 1.0663788318634033,
|
| 1911 |
+
"learning_rate": 4.8078303914559706e-05,
|
| 1912 |
+
"loss": 0.8185,
|
| 1913 |
+
"step": 272
|
| 1914 |
+
},
|
| 1915 |
+
{
|
| 1916 |
+
"epoch": 0.3556539864512767,
|
| 1917 |
+
"grad_norm": 0.9978227019309998,
|
| 1918 |
+
"learning_rate": 4.795884982500349e-05,
|
| 1919 |
+
"loss": 0.777,
|
| 1920 |
+
"step": 273
|
| 1921 |
+
},
|
| 1922 |
+
{
|
| 1923 |
+
"epoch": 0.3569567483064096,
|
| 1924 |
+
"grad_norm": 1.0210098028182983,
|
| 1925 |
+
"learning_rate": 4.7839125217292556e-05,
|
| 1926 |
+
"loss": 0.8353,
|
| 1927 |
+
"step": 274
|
| 1928 |
+
},
|
| 1929 |
+
{
|
| 1930 |
+
"epoch": 0.35825951016154245,
|
| 1931 |
+
"grad_norm": 0.9370939135551453,
|
| 1932 |
+
"learning_rate": 4.77191321865168e-05,
|
| 1933 |
+
"loss": 0.7465,
|
| 1934 |
+
"step": 275
|
| 1935 |
+
},
|
| 1936 |
+
{
|
| 1937 |
+
"epoch": 0.35956227201667534,
|
| 1938 |
+
"grad_norm": 1.0085511207580566,
|
| 1939 |
+
"learning_rate": 4.759887283246331e-05,
|
| 1940 |
+
"loss": 0.8009,
|
| 1941 |
+
"step": 276
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 0.36086503387180824,
|
| 1945 |
+
"grad_norm": 0.9499126672744751,
|
| 1946 |
+
"learning_rate": 4.747834925957963e-05,
|
| 1947 |
+
"loss": 0.8041,
|
| 1948 |
+
"step": 277
|
| 1949 |
+
},
|
| 1950 |
+
{
|
| 1951 |
+
"epoch": 0.36216779572694113,
|
| 1952 |
+
"grad_norm": 0.9528019428253174,
|
| 1953 |
+
"learning_rate": 4.735756357693692e-05,
|
| 1954 |
+
"loss": 0.7454,
|
| 1955 |
+
"step": 278
|
| 1956 |
+
},
|
| 1957 |
+
{
|
| 1958 |
+
"epoch": 0.36347055758207397,
|
| 1959 |
+
"grad_norm": 1.011826515197754,
|
| 1960 |
+
"learning_rate": 4.7236517898193094e-05,
|
| 1961 |
+
"loss": 0.7772,
|
| 1962 |
+
"step": 279
|
| 1963 |
+
},
|
| 1964 |
+
{
|
| 1965 |
+
"epoch": 0.36477331943720687,
|
| 1966 |
+
"grad_norm": 0.9649999141693115,
|
| 1967 |
+
"learning_rate": 4.711521434155578e-05,
|
| 1968 |
+
"loss": 0.8043,
|
| 1969 |
+
"step": 280
|
| 1970 |
+
},
|
| 1971 |
+
{
|
| 1972 |
+
"epoch": 0.36607608129233976,
|
| 1973 |
+
"grad_norm": 0.9927408695220947,
|
| 1974 |
+
"learning_rate": 4.6993655029745263e-05,
|
| 1975 |
+
"loss": 0.8378,
|
| 1976 |
+
"step": 281
|
| 1977 |
+
},
|
| 1978 |
+
{
|
| 1979 |
+
"epoch": 0.36737884314747266,
|
| 1980 |
+
"grad_norm": 1.0498725175857544,
|
| 1981 |
+
"learning_rate": 4.6871842089957375e-05,
|
| 1982 |
+
"loss": 0.8455,
|
| 1983 |
+
"step": 282
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 0.36868160500260555,
|
| 1987 |
+
"grad_norm": 0.9903897643089294,
|
| 1988 |
+
"learning_rate": 4.674977765382622e-05,
|
| 1989 |
+
"loss": 0.7628,
|
| 1990 |
+
"step": 283
|
| 1991 |
+
},
|
| 1992 |
+
{
|
| 1993 |
+
"epoch": 0.3699843668577384,
|
| 1994 |
+
"grad_norm": 1.0428470373153687,
|
| 1995 |
+
"learning_rate": 4.662746385738691e-05,
|
| 1996 |
+
"loss": 0.8221,
|
| 1997 |
+
"step": 284
|
| 1998 |
+
},
|
| 1999 |
+
{
|
| 2000 |
+
"epoch": 0.3712871287128713,
|
| 2001 |
+
"grad_norm": 0.9479437470436096,
|
| 2002 |
+
"learning_rate": 4.6504902841038185e-05,
|
| 2003 |
+
"loss": 0.7747,
|
| 2004 |
+
"step": 285
|
| 2005 |
+
},
|
| 2006 |
+
{
|
| 2007 |
+
"epoch": 0.3725898905680042,
|
| 2008 |
+
"grad_norm": 0.9896458983421326,
|
| 2009 |
+
"learning_rate": 4.6382096749504944e-05,
|
| 2010 |
+
"loss": 0.7987,
|
| 2011 |
+
"step": 286
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 0.3738926524231371,
|
| 2015 |
+
"grad_norm": 0.9583244919776917,
|
| 2016 |
+
"learning_rate": 4.6259047731800675e-05,
|
| 2017 |
+
"loss": 0.7863,
|
| 2018 |
+
"step": 287
|
| 2019 |
+
},
|
| 2020 |
+
{
|
| 2021 |
+
"epoch": 0.3751954142782699,
|
| 2022 |
+
"grad_norm": 0.9551007747650146,
|
| 2023 |
+
"learning_rate": 4.613575794118994e-05,
|
| 2024 |
+
"loss": 0.7665,
|
| 2025 |
+
"step": 288
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 0.3764981761334028,
|
| 2029 |
+
"grad_norm": 1.0227469205856323,
|
| 2030 |
+
"learning_rate": 4.601222953515063e-05,
|
| 2031 |
+
"loss": 0.8208,
|
| 2032 |
+
"step": 289
|
| 2033 |
+
},
|
| 2034 |
+
{
|
| 2035 |
+
"epoch": 0.3778009379885357,
|
| 2036 |
+
"grad_norm": 1.0073151588439941,
|
| 2037 |
+
"learning_rate": 4.588846467533622e-05,
|
| 2038 |
+
"loss": 0.8182,
|
| 2039 |
+
"step": 290
|
| 2040 |
+
},
|
| 2041 |
+
{
|
| 2042 |
+
"epoch": 0.3791036998436686,
|
| 2043 |
+
"grad_norm": 0.9630952477455139,
|
| 2044 |
+
"learning_rate": 4.576446552753793e-05,
|
| 2045 |
+
"loss": 0.7829,
|
| 2046 |
+
"step": 291
|
| 2047 |
+
},
|
| 2048 |
+
{
|
| 2049 |
+
"epoch": 0.38040646169880143,
|
| 2050 |
+
"grad_norm": 0.9635125398635864,
|
| 2051 |
+
"learning_rate": 4.564023426164688e-05,
|
| 2052 |
+
"loss": 0.8203,
|
| 2053 |
+
"step": 292
|
| 2054 |
+
},
|
| 2055 |
+
{
|
| 2056 |
+
"epoch": 0.38170922355393433,
|
| 2057 |
+
"grad_norm": 0.9933289885520935,
|
| 2058 |
+
"learning_rate": 4.551577305161605e-05,
|
| 2059 |
+
"loss": 0.7674,
|
| 2060 |
+
"step": 293
|
| 2061 |
+
},
|
| 2062 |
+
{
|
| 2063 |
+
"epoch": 0.3830119854090672,
|
| 2064 |
+
"grad_norm": 1.050747036933899,
|
| 2065 |
+
"learning_rate": 4.539108407542228e-05,
|
| 2066 |
+
"loss": 0.8082,
|
| 2067 |
+
"step": 294
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 0.3843147472642001,
|
| 2071 |
+
"grad_norm": 1.0443624258041382,
|
| 2072 |
+
"learning_rate": 4.526616951502815e-05,
|
| 2073 |
+
"loss": 0.8243,
|
| 2074 |
+
"step": 295
|
| 2075 |
+
},
|
| 2076 |
+
{
|
| 2077 |
+
"epoch": 0.385617509119333,
|
| 2078 |
+
"grad_norm": 1.0552526712417603,
|
| 2079 |
+
"learning_rate": 4.5141031556343774e-05,
|
| 2080 |
+
"loss": 0.7807,
|
| 2081 |
+
"step": 296
|
| 2082 |
+
},
|
| 2083 |
+
{
|
| 2084 |
+
"epoch": 0.38692027097446585,
|
| 2085 |
+
"grad_norm": 1.0113283395767212,
|
| 2086 |
+
"learning_rate": 4.501567238918859e-05,
|
| 2087 |
+
"loss": 0.8494,
|
| 2088 |
+
"step": 297
|
| 2089 |
+
},
|
| 2090 |
+
{
|
| 2091 |
+
"epoch": 0.38822303282959875,
|
| 2092 |
+
"grad_norm": 1.0051511526107788,
|
| 2093 |
+
"learning_rate": 4.4890094207253014e-05,
|
| 2094 |
+
"loss": 0.7844,
|
| 2095 |
+
"step": 298
|
| 2096 |
+
},
|
| 2097 |
+
{
|
| 2098 |
+
"epoch": 0.38952579468473164,
|
| 2099 |
+
"grad_norm": 1.0065789222717285,
|
| 2100 |
+
"learning_rate": 4.476429920806002e-05,
|
| 2101 |
+
"loss": 0.7767,
|
| 2102 |
+
"step": 299
|
| 2103 |
+
},
|
| 2104 |
+
{
|
| 2105 |
+
"epoch": 0.39082855653986454,
|
| 2106 |
+
"grad_norm": 1.0727571249008179,
|
| 2107 |
+
"learning_rate": 4.463828959292677e-05,
|
| 2108 |
+
"loss": 0.8314,
|
| 2109 |
+
"step": 300
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 0.3921313183949974,
|
| 2113 |
+
"grad_norm": 1.0275354385375977,
|
| 2114 |
+
"learning_rate": 4.451206756692601e-05,
|
| 2115 |
+
"loss": 0.8169,
|
| 2116 |
+
"step": 301
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 0.39343408025013027,
|
| 2120 |
+
"grad_norm": 1.0231237411499023,
|
| 2121 |
+
"learning_rate": 4.4385635338847514e-05,
|
| 2122 |
+
"loss": 0.7747,
|
| 2123 |
+
"step": 302
|
| 2124 |
+
},
|
| 2125 |
+
{
|
| 2126 |
+
"epoch": 0.39473684210526316,
|
| 2127 |
+
"grad_norm": 0.9855037927627563,
|
| 2128 |
+
"learning_rate": 4.4258995121159454e-05,
|
| 2129 |
+
"loss": 0.8316,
|
| 2130 |
+
"step": 303
|
| 2131 |
+
},
|
| 2132 |
+
{
|
| 2133 |
+
"epoch": 0.39603960396039606,
|
| 2134 |
+
"grad_norm": 0.9906755089759827,
|
| 2135 |
+
"learning_rate": 4.413214912996965e-05,
|
| 2136 |
+
"loss": 0.8246,
|
| 2137 |
+
"step": 304
|
| 2138 |
+
},
|
| 2139 |
+
{
|
| 2140 |
+
"epoch": 0.3973423658155289,
|
| 2141 |
+
"grad_norm": 1.0087635517120361,
|
| 2142 |
+
"learning_rate": 4.4005099584986805e-05,
|
| 2143 |
+
"loss": 0.7531,
|
| 2144 |
+
"step": 305
|
| 2145 |
+
},
|
| 2146 |
+
{
|
| 2147 |
+
"epoch": 0.3986451276706618,
|
| 2148 |
+
"grad_norm": 1.024081826210022,
|
| 2149 |
+
"learning_rate": 4.387784870948165e-05,
|
| 2150 |
+
"loss": 0.7737,
|
| 2151 |
+
"step": 306
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 0.3999478895257947,
|
| 2155 |
+
"grad_norm": 1.0000710487365723,
|
| 2156 |
+
"learning_rate": 4.375039873024805e-05,
|
| 2157 |
+
"loss": 0.8158,
|
| 2158 |
+
"step": 307
|
| 2159 |
+
},
|
| 2160 |
+
{
|
| 2161 |
+
"epoch": 0.4012506513809276,
|
| 2162 |
+
"grad_norm": 0.9954432249069214,
|
| 2163 |
+
"learning_rate": 4.362275187756406e-05,
|
| 2164 |
+
"loss": 0.7869,
|
| 2165 |
+
"step": 308
|
| 2166 |
+
},
|
| 2167 |
+
{
|
| 2168 |
+
"epoch": 0.4025534132360605,
|
| 2169 |
+
"grad_norm": 0.9808403849601746,
|
| 2170 |
+
"learning_rate": 4.3494910385152844e-05,
|
| 2171 |
+
"loss": 0.7731,
|
| 2172 |
+
"step": 309
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 0.4038561750911933,
|
| 2176 |
+
"grad_norm": 0.9858344197273254,
|
| 2177 |
+
"learning_rate": 4.336687649014361e-05,
|
| 2178 |
+
"loss": 0.8209,
|
| 2179 |
+
"step": 310
|
| 2180 |
+
},
|
| 2181 |
+
{
|
| 2182 |
+
"epoch": 0.4051589369463262,
|
| 2183 |
+
"grad_norm": 0.9827001690864563,
|
| 2184 |
+
"learning_rate": 4.323865243303247e-05,
|
| 2185 |
+
"loss": 0.7704,
|
| 2186 |
+
"step": 311
|
| 2187 |
+
},
|
| 2188 |
+
{
|
| 2189 |
+
"epoch": 0.4064616988014591,
|
| 2190 |
+
"grad_norm": 0.9746841788291931,
|
| 2191 |
+
"learning_rate": 4.311024045764326e-05,
|
| 2192 |
+
"loss": 0.805,
|
| 2193 |
+
"step": 312
|
| 2194 |
+
},
|
| 2195 |
+
{
|
| 2196 |
+
"epoch": 0.407764460656592,
|
| 2197 |
+
"grad_norm": 0.964389443397522,
|
| 2198 |
+
"learning_rate": 4.298164281108819e-05,
|
| 2199 |
+
"loss": 0.7703,
|
| 2200 |
+
"step": 313
|
| 2201 |
+
},
|
| 2202 |
+
{
|
| 2203 |
+
"epoch": 0.40906722251172484,
|
| 2204 |
+
"grad_norm": 0.9591614603996277,
|
| 2205 |
+
"learning_rate": 4.2852861743728624e-05,
|
| 2206 |
+
"loss": 0.7739,
|
| 2207 |
+
"step": 314
|
| 2208 |
+
},
|
| 2209 |
+
{
|
| 2210 |
+
"epoch": 0.41036998436685773,
|
| 2211 |
+
"grad_norm": 0.9757986664772034,
|
| 2212 |
+
"learning_rate": 4.272389950913562e-05,
|
| 2213 |
+
"loss": 0.7903,
|
| 2214 |
+
"step": 315
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 0.4116727462219906,
|
| 2218 |
+
"grad_norm": 1.0358850955963135,
|
| 2219 |
+
"learning_rate": 4.259475836405054e-05,
|
| 2220 |
+
"loss": 0.8438,
|
| 2221 |
+
"step": 316
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 0.4129755080771235,
|
| 2225 |
+
"grad_norm": 0.9954838752746582,
|
| 2226 |
+
"learning_rate": 4.2465440568345526e-05,
|
| 2227 |
+
"loss": 0.8139,
|
| 2228 |
+
"step": 317
|
| 2229 |
+
},
|
| 2230 |
+
{
|
| 2231 |
+
"epoch": 0.41427826993225636,
|
| 2232 |
+
"grad_norm": 1.109437108039856,
|
| 2233 |
+
"learning_rate": 4.2335948384984e-05,
|
| 2234 |
+
"loss": 0.8427,
|
| 2235 |
+
"step": 318
|
| 2236 |
+
},
|
| 2237 |
+
{
|
| 2238 |
+
"epoch": 0.41558103178738925,
|
| 2239 |
+
"grad_norm": 1.0301264524459839,
|
| 2240 |
+
"learning_rate": 4.220628407998102e-05,
|
| 2241 |
+
"loss": 0.8215,
|
| 2242 |
+
"step": 319
|
| 2243 |
+
},
|
| 2244 |
+
{
|
| 2245 |
+
"epoch": 0.41688379364252215,
|
| 2246 |
+
"grad_norm": 1.0422919988632202,
|
| 2247 |
+
"learning_rate": 4.2076449922363616e-05,
|
| 2248 |
+
"loss": 0.82,
|
| 2249 |
+
"step": 320
|
| 2250 |
+
},
|
| 2251 |
+
{
|
| 2252 |
+
"epoch": 0.41818655549765504,
|
| 2253 |
+
"grad_norm": 0.936849057674408,
|
| 2254 |
+
"learning_rate": 4.194644818413117e-05,
|
| 2255 |
+
"loss": 0.7258,
|
| 2256 |
+
"step": 321
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 0.4194893173527879,
|
| 2260 |
+
"grad_norm": 0.9646280407905579,
|
| 2261 |
+
"learning_rate": 4.181628114021556e-05,
|
| 2262 |
+
"loss": 0.8013,
|
| 2263 |
+
"step": 322
|
| 2264 |
+
},
|
| 2265 |
+
{
|
| 2266 |
+
"epoch": 0.4207920792079208,
|
| 2267 |
+
"grad_norm": 0.9410605430603027,
|
| 2268 |
+
"learning_rate": 4.168595106844139e-05,
|
| 2269 |
+
"loss": 0.791,
|
| 2270 |
+
"step": 323
|
| 2271 |
+
},
|
| 2272 |
+
{
|
| 2273 |
+
"epoch": 0.42209484106305367,
|
| 2274 |
+
"grad_norm": 1.0189350843429565,
|
| 2275 |
+
"learning_rate": 4.155546024948611e-05,
|
| 2276 |
+
"loss": 0.7986,
|
| 2277 |
+
"step": 324
|
| 2278 |
+
},
|
| 2279 |
+
{
|
| 2280 |
+
"epoch": 0.42339760291818657,
|
| 2281 |
+
"grad_norm": 0.9734213948249817,
|
| 2282 |
+
"learning_rate": 4.1424810966840165e-05,
|
| 2283 |
+
"loss": 0.798,
|
| 2284 |
+
"step": 325
|
| 2285 |
+
},
|
| 2286 |
+
{
|
| 2287 |
+
"epoch": 0.42470036477331946,
|
| 2288 |
+
"grad_norm": 0.9883679747581482,
|
| 2289 |
+
"learning_rate": 4.129400550676697e-05,
|
| 2290 |
+
"loss": 0.7922,
|
| 2291 |
+
"step": 326
|
| 2292 |
+
},
|
| 2293 |
+
{
|
| 2294 |
+
"epoch": 0.4260031266284523,
|
| 2295 |
+
"grad_norm": 1.044937014579773,
|
| 2296 |
+
"learning_rate": 4.116304615826294e-05,
|
| 2297 |
+
"loss": 0.8352,
|
| 2298 |
+
"step": 327
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 0.4273058884835852,
|
| 2302 |
+
"grad_norm": 0.9842580556869507,
|
| 2303 |
+
"learning_rate": 4.10319352130174e-05,
|
| 2304 |
+
"loss": 0.8078,
|
| 2305 |
+
"step": 328
|
| 2306 |
+
},
|
| 2307 |
+
{
|
| 2308 |
+
"epoch": 0.4286086503387181,
|
| 2309 |
+
"grad_norm": 0.9620386958122253,
|
| 2310 |
+
"learning_rate": 4.090067496537251e-05,
|
| 2311 |
+
"loss": 0.7724,
|
| 2312 |
+
"step": 329
|
| 2313 |
+
},
|
| 2314 |
+
{
|
| 2315 |
+
"epoch": 0.429911412193851,
|
| 2316 |
+
"grad_norm": 0.9960795044898987,
|
| 2317 |
+
"learning_rate": 4.076926771228312e-05,
|
| 2318 |
+
"loss": 0.7792,
|
| 2319 |
+
"step": 330
|
| 2320 |
+
},
|
| 2321 |
+
{
|
| 2322 |
+
"epoch": 0.4312141740489838,
|
| 2323 |
+
"grad_norm": 0.9758504629135132,
|
| 2324 |
+
"learning_rate": 4.0637715753276564e-05,
|
| 2325 |
+
"loss": 0.81,
|
| 2326 |
+
"step": 331
|
| 2327 |
+
},
|
| 2328 |
+
{
|
| 2329 |
+
"epoch": 0.4325169359041167,
|
| 2330 |
+
"grad_norm": 0.9628814458847046,
|
| 2331 |
+
"learning_rate": 4.050602139041242e-05,
|
| 2332 |
+
"loss": 0.7766,
|
| 2333 |
+
"step": 332
|
| 2334 |
+
},
|
| 2335 |
+
{
|
| 2336 |
+
"epoch": 0.4338196977592496,
|
| 2337 |
+
"grad_norm": 0.9933943748474121,
|
| 2338 |
+
"learning_rate": 4.037418692824219e-05,
|
| 2339 |
+
"loss": 0.8216,
|
| 2340 |
+
"step": 333
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 0.4351224596143825,
|
| 2344 |
+
"grad_norm": 1.0571389198303223,
|
| 2345 |
+
"learning_rate": 4.024221467376904e-05,
|
| 2346 |
+
"loss": 0.8159,
|
| 2347 |
+
"step": 334
|
| 2348 |
+
},
|
| 2349 |
+
{
|
| 2350 |
+
"epoch": 0.43642522146951535,
|
| 2351 |
+
"grad_norm": 0.9927603006362915,
|
| 2352 |
+
"learning_rate": 4.011010693640743e-05,
|
| 2353 |
+
"loss": 0.7874,
|
| 2354 |
+
"step": 335
|
| 2355 |
+
},
|
| 2356 |
+
{
|
| 2357 |
+
"epoch": 0.43772798332464824,
|
| 2358 |
+
"grad_norm": 0.9746401906013489,
|
| 2359 |
+
"learning_rate": 3.9977866027942596e-05,
|
| 2360 |
+
"loss": 0.8087,
|
| 2361 |
+
"step": 336
|
| 2362 |
+
},
|
| 2363 |
+
{
|
| 2364 |
+
"epoch": 0.43903074517978113,
|
| 2365 |
+
"grad_norm": 0.9622447490692139,
|
| 2366 |
+
"learning_rate": 3.984549426249021e-05,
|
| 2367 |
+
"loss": 0.7683,
|
| 2368 |
+
"step": 337
|
| 2369 |
+
},
|
| 2370 |
+
{
|
| 2371 |
+
"epoch": 0.44033350703491403,
|
| 2372 |
+
"grad_norm": 0.9910291433334351,
|
| 2373 |
+
"learning_rate": 3.9712993956455846e-05,
|
| 2374 |
+
"loss": 0.808,
|
| 2375 |
+
"step": 338
|
| 2376 |
+
},
|
| 2377 |
+
{
|
| 2378 |
+
"epoch": 0.4416362688900469,
|
| 2379 |
+
"grad_norm": 1.0119026899337769,
|
| 2380 |
+
"learning_rate": 3.958036742849441e-05,
|
| 2381 |
+
"loss": 0.8188,
|
| 2382 |
+
"step": 339
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 0.44293903074517976,
|
| 2386 |
+
"grad_norm": 0.9805094599723816,
|
| 2387 |
+
"learning_rate": 3.9447616999469633e-05,
|
| 2388 |
+
"loss": 0.7924,
|
| 2389 |
+
"step": 340
|
| 2390 |
+
},
|
| 2391 |
+
{
|
| 2392 |
+
"epoch": 0.44424179260031266,
|
| 2393 |
+
"grad_norm": 0.9824138283729553,
|
| 2394 |
+
"learning_rate": 3.9314744992413405e-05,
|
| 2395 |
+
"loss": 0.7637,
|
| 2396 |
+
"step": 341
|
| 2397 |
+
},
|
| 2398 |
+
{
|
| 2399 |
+
"epoch": 0.44554455445544555,
|
| 2400 |
+
"grad_norm": 0.9920548796653748,
|
| 2401 |
+
"learning_rate": 3.9181753732485114e-05,
|
| 2402 |
+
"loss": 0.7444,
|
| 2403 |
+
"step": 342
|
| 2404 |
+
},
|
| 2405 |
+
{
|
| 2406 |
+
"epoch": 0.44684731631057845,
|
| 2407 |
+
"grad_norm": 1.054882287979126,
|
| 2408 |
+
"learning_rate": 3.9048645546931025e-05,
|
| 2409 |
+
"loss": 0.8301,
|
| 2410 |
+
"step": 343
|
| 2411 |
+
},
|
| 2412 |
+
{
|
| 2413 |
+
"epoch": 0.4481500781657113,
|
| 2414 |
+
"grad_norm": 0.9370349645614624,
|
| 2415 |
+
"learning_rate": 3.8915422765043496e-05,
|
| 2416 |
+
"loss": 0.7514,
|
| 2417 |
+
"step": 344
|
| 2418 |
+
},
|
| 2419 |
+
{
|
| 2420 |
+
"epoch": 0.4494528400208442,
|
| 2421 |
+
"grad_norm": 0.9788942933082581,
|
| 2422 |
+
"learning_rate": 3.878208771812023e-05,
|
| 2423 |
+
"loss": 0.7609,
|
| 2424 |
+
"step": 345
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 0.4507556018759771,
|
| 2428 |
+
"grad_norm": 0.9948318004608154,
|
| 2429 |
+
"learning_rate": 3.864864273942347e-05,
|
| 2430 |
+
"loss": 0.8337,
|
| 2431 |
+
"step": 346
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 0.45205836373110997,
|
| 2435 |
+
"grad_norm": 0.9403611421585083,
|
| 2436 |
+
"learning_rate": 3.851509016413922e-05,
|
| 2437 |
+
"loss": 0.7551,
|
| 2438 |
+
"step": 347
|
| 2439 |
+
},
|
| 2440 |
+
{
|
| 2441 |
+
"epoch": 0.4533611255862428,
|
| 2442 |
+
"grad_norm": 1.0166083574295044,
|
| 2443 |
+
"learning_rate": 3.838143232933631e-05,
|
| 2444 |
+
"loss": 0.777,
|
| 2445 |
+
"step": 348
|
| 2446 |
+
},
|
| 2447 |
+
{
|
| 2448 |
+
"epoch": 0.4546638874413757,
|
| 2449 |
+
"grad_norm": 1.039010763168335,
|
| 2450 |
+
"learning_rate": 3.8247671573925534e-05,
|
| 2451 |
+
"loss": 0.8791,
|
| 2452 |
+
"step": 349
|
| 2453 |
+
},
|
| 2454 |
+
{
|
| 2455 |
+
"epoch": 0.4559666492965086,
|
| 2456 |
+
"grad_norm": 1.0491831302642822,
|
| 2457 |
+
"learning_rate": 3.8113810238618744e-05,
|
| 2458 |
+
"loss": 0.8649,
|
| 2459 |
+
"step": 350
|
| 2460 |
+
},
|
| 2461 |
+
{
|
| 2462 |
+
"epoch": 0.4572694111516415,
|
| 2463 |
+
"grad_norm": 1.0406017303466797,
|
| 2464 |
+
"learning_rate": 3.7979850665887825e-05,
|
| 2465 |
+
"loss": 0.8064,
|
| 2466 |
+
"step": 351
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 0.4585721730067744,
|
| 2470 |
+
"grad_norm": 1.0099365711212158,
|
| 2471 |
+
"learning_rate": 3.784579519992377e-05,
|
| 2472 |
+
"loss": 0.8251,
|
| 2473 |
+
"step": 352
|
| 2474 |
+
},
|
| 2475 |
+
{
|
| 2476 |
+
"epoch": 0.4598749348619072,
|
| 2477 |
+
"grad_norm": 0.992388129234314,
|
| 2478 |
+
"learning_rate": 3.771164618659563e-05,
|
| 2479 |
+
"loss": 0.7879,
|
| 2480 |
+
"step": 353
|
| 2481 |
+
},
|
| 2482 |
+
{
|
| 2483 |
+
"epoch": 0.4611776967170401,
|
| 2484 |
+
"grad_norm": 1.0061777830123901,
|
| 2485 |
+
"learning_rate": 3.757740597340946e-05,
|
| 2486 |
+
"loss": 0.8238,
|
| 2487 |
+
"step": 354
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 0.462480458572173,
|
| 2491 |
+
"grad_norm": 0.9892385601997375,
|
| 2492 |
+
"learning_rate": 3.744307690946723e-05,
|
| 2493 |
+
"loss": 0.8531,
|
| 2494 |
+
"step": 355
|
| 2495 |
+
},
|
| 2496 |
+
{
|
| 2497 |
+
"epoch": 0.4637832204273059,
|
| 2498 |
+
"grad_norm": 1.030580759048462,
|
| 2499 |
+
"learning_rate": 3.730866134542575e-05,
|
| 2500 |
+
"loss": 0.8113,
|
| 2501 |
+
"step": 356
|
| 2502 |
+
},
|
| 2503 |
+
{
|
| 2504 |
+
"epoch": 0.46508598228243875,
|
| 2505 |
+
"grad_norm": 0.9647723436355591,
|
| 2506 |
+
"learning_rate": 3.717416163345552e-05,
|
| 2507 |
+
"loss": 0.7581,
|
| 2508 |
+
"step": 357
|
| 2509 |
+
},
|
| 2510 |
+
{
|
| 2511 |
+
"epoch": 0.46638874413757164,
|
| 2512 |
+
"grad_norm": 1.0186620950698853,
|
| 2513 |
+
"learning_rate": 3.703958012719953e-05,
|
| 2514 |
+
"loss": 0.7787,
|
| 2515 |
+
"step": 358
|
| 2516 |
+
},
|
| 2517 |
+
{
|
| 2518 |
+
"epoch": 0.46769150599270454,
|
| 2519 |
+
"grad_norm": 0.9629569053649902,
|
| 2520 |
+
"learning_rate": 3.690491918173215e-05,
|
| 2521 |
+
"loss": 0.7408,
|
| 2522 |
+
"step": 359
|
| 2523 |
+
},
|
| 2524 |
+
{
|
| 2525 |
+
"epoch": 0.46899426784783743,
|
| 2526 |
+
"grad_norm": 1.0066182613372803,
|
| 2527 |
+
"learning_rate": 3.677018115351786e-05,
|
| 2528 |
+
"loss": 0.7768,
|
| 2529 |
+
"step": 360
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 0.47029702970297027,
|
| 2533 |
+
"grad_norm": 0.9587082862854004,
|
| 2534 |
+
"learning_rate": 3.663536840037001e-05,
|
| 2535 |
+
"loss": 0.7646,
|
| 2536 |
+
"step": 361
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 0.47159979155810317,
|
| 2540 |
+
"grad_norm": 0.9719291925430298,
|
| 2541 |
+
"learning_rate": 3.65004832814096e-05,
|
| 2542 |
+
"loss": 0.7632,
|
| 2543 |
+
"step": 362
|
| 2544 |
+
},
|
| 2545 |
+
{
|
| 2546 |
+
"epoch": 0.47290255341323606,
|
| 2547 |
+
"grad_norm": 1.0020971298217773,
|
| 2548 |
+
"learning_rate": 3.6365528157024e-05,
|
| 2549 |
+
"loss": 0.82,
|
| 2550 |
+
"step": 363
|
| 2551 |
+
},
|
| 2552 |
+
{
|
| 2553 |
+
"epoch": 0.47420531526836895,
|
| 2554 |
+
"grad_norm": 1.0055842399597168,
|
| 2555 |
+
"learning_rate": 3.623050538882556e-05,
|
| 2556 |
+
"loss": 0.853,
|
| 2557 |
+
"step": 364
|
| 2558 |
+
},
|
| 2559 |
+
{
|
| 2560 |
+
"epoch": 0.47550807712350185,
|
| 2561 |
+
"grad_norm": 0.9556001424789429,
|
| 2562 |
+
"learning_rate": 3.6095417339610406e-05,
|
| 2563 |
+
"loss": 0.7644,
|
| 2564 |
+
"step": 365
|
| 2565 |
+
},
|
| 2566 |
+
{
|
| 2567 |
+
"epoch": 0.4768108389786347,
|
| 2568 |
+
"grad_norm": 1.0069520473480225,
|
| 2569 |
+
"learning_rate": 3.5960266373317e-05,
|
| 2570 |
+
"loss": 0.784,
|
| 2571 |
+
"step": 366
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 0.4781136008337676,
|
| 2575 |
+
"grad_norm": 0.9717457890510559,
|
| 2576 |
+
"learning_rate": 3.58250548549848e-05,
|
| 2577 |
+
"loss": 0.7313,
|
| 2578 |
+
"step": 367
|
| 2579 |
+
},
|
| 2580 |
+
{
|
| 2581 |
+
"epoch": 0.4794163626889005,
|
| 2582 |
+
"grad_norm": 0.9917356371879578,
|
| 2583 |
+
"learning_rate": 3.5689785150712915e-05,
|
| 2584 |
+
"loss": 0.751,
|
| 2585 |
+
"step": 368
|
| 2586 |
+
},
|
| 2587 |
+
{
|
| 2588 |
+
"epoch": 0.48071912454403337,
|
| 2589 |
+
"grad_norm": 1.0234906673431396,
|
| 2590 |
+
"learning_rate": 3.555445962761864e-05,
|
| 2591 |
+
"loss": 0.7926,
|
| 2592 |
+
"step": 369
|
| 2593 |
+
},
|
| 2594 |
+
{
|
| 2595 |
+
"epoch": 0.4820218863991662,
|
| 2596 |
+
"grad_norm": 0.953758716583252,
|
| 2597 |
+
"learning_rate": 3.541908065379603e-05,
|
| 2598 |
+
"loss": 0.7566,
|
| 2599 |
+
"step": 370
|
| 2600 |
+
},
|
| 2601 |
+
{
|
| 2602 |
+
"epoch": 0.4833246482542991,
|
| 2603 |
+
"grad_norm": 0.9510905146598816,
|
| 2604 |
+
"learning_rate": 3.5283650598274535e-05,
|
| 2605 |
+
"loss": 0.7873,
|
| 2606 |
+
"step": 371
|
| 2607 |
+
},
|
| 2608 |
+
{
|
| 2609 |
+
"epoch": 0.484627410109432,
|
| 2610 |
+
"grad_norm": 1.016905665397644,
|
| 2611 |
+
"learning_rate": 3.5148171830977476e-05,
|
| 2612 |
+
"loss": 0.8505,
|
| 2613 |
+
"step": 372
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 0.4859301719645649,
|
| 2617 |
+
"grad_norm": 0.9876651763916016,
|
| 2618 |
+
"learning_rate": 3.501264672268058e-05,
|
| 2619 |
+
"loss": 0.763,
|
| 2620 |
+
"step": 373
|
| 2621 |
+
},
|
| 2622 |
+
{
|
| 2623 |
+
"epoch": 0.48723293381969773,
|
| 2624 |
+
"grad_norm": 1.031883716583252,
|
| 2625 |
+
"learning_rate": 3.4877077644970536e-05,
|
| 2626 |
+
"loss": 0.77,
|
| 2627 |
+
"step": 374
|
| 2628 |
+
},
|
| 2629 |
+
{
|
| 2630 |
+
"epoch": 0.48853569567483063,
|
| 2631 |
+
"grad_norm": 0.9771068692207336,
|
| 2632 |
+
"learning_rate": 3.474146697020344e-05,
|
| 2633 |
+
"loss": 0.7855,
|
| 2634 |
+
"step": 375
|
| 2635 |
+
},
|
| 2636 |
+
{
|
| 2637 |
+
"epoch": 0.4898384575299635,
|
| 2638 |
+
"grad_norm": 1.0575013160705566,
|
| 2639 |
+
"learning_rate": 3.460581707146331e-05,
|
| 2640 |
+
"loss": 0.822,
|
| 2641 |
+
"step": 376
|
| 2642 |
+
},
|
| 2643 |
+
{
|
| 2644 |
+
"epoch": 0.4911412193850964,
|
| 2645 |
+
"grad_norm": 0.9549304842948914,
|
| 2646 |
+
"learning_rate": 3.4470130322520564e-05,
|
| 2647 |
+
"loss": 0.745,
|
| 2648 |
+
"step": 377
|
| 2649 |
+
},
|
| 2650 |
+
{
|
| 2651 |
+
"epoch": 0.4924439812402293,
|
| 2652 |
+
"grad_norm": 0.9750242829322815,
|
| 2653 |
+
"learning_rate": 3.433440909779045e-05,
|
| 2654 |
+
"loss": 0.794,
|
| 2655 |
+
"step": 378
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 0.49374674309536215,
|
| 2659 |
+
"grad_norm": 0.9908477067947388,
|
| 2660 |
+
"learning_rate": 3.4198655772291545e-05,
|
| 2661 |
+
"loss": 0.761,
|
| 2662 |
+
"step": 379
|
| 2663 |
+
},
|
| 2664 |
+
{
|
| 2665 |
+
"epoch": 0.49504950495049505,
|
| 2666 |
+
"grad_norm": 0.9413042068481445,
|
| 2667 |
+
"learning_rate": 3.406287272160414e-05,
|
| 2668 |
+
"loss": 0.7396,
|
| 2669 |
+
"step": 380
|
| 2670 |
+
},
|
| 2671 |
+
{
|
| 2672 |
+
"epoch": 0.49635226680562794,
|
| 2673 |
+
"grad_norm": 1.0032494068145752,
|
| 2674 |
+
"learning_rate": 3.392706232182871e-05,
|
| 2675 |
+
"loss": 0.7761,
|
| 2676 |
+
"step": 381
|
| 2677 |
+
},
|
| 2678 |
+
{
|
| 2679 |
+
"epoch": 0.49765502866076083,
|
| 2680 |
+
"grad_norm": 1.006235122680664,
|
| 2681 |
+
"learning_rate": 3.37912269495443e-05,
|
| 2682 |
+
"loss": 0.8058,
|
| 2683 |
+
"step": 382
|
| 2684 |
+
},
|
| 2685 |
+
{
|
| 2686 |
+
"epoch": 0.4989577905158937,
|
| 2687 |
+
"grad_norm": 1.0400941371917725,
|
| 2688 |
+
"learning_rate": 3.3655368981766984e-05,
|
| 2689 |
+
"loss": 0.7932,
|
| 2690 |
+
"step": 383
|
| 2691 |
+
},
|
| 2692 |
+
{
|
| 2693 |
+
"epoch": 0.5002605523710266,
|
| 2694 |
+
"grad_norm": 0.962922990322113,
|
| 2695 |
+
"learning_rate": 3.35194907959082e-05,
|
| 2696 |
+
"loss": 0.8032,
|
| 2697 |
+
"step": 384
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 0.5015633142261594,
|
| 2701 |
+
"grad_norm": 1.0155935287475586,
|
| 2702 |
+
"learning_rate": 3.338359476973322e-05,
|
| 2703 |
+
"loss": 0.7974,
|
| 2704 |
+
"step": 385
|
| 2705 |
+
},
|
| 2706 |
+
{
|
| 2707 |
+
"epoch": 0.5028660760812923,
|
| 2708 |
+
"grad_norm": 1.0011403560638428,
|
| 2709 |
+
"learning_rate": 3.324768328131952e-05,
|
| 2710 |
+
"loss": 0.8059,
|
| 2711 |
+
"step": 386
|
| 2712 |
+
},
|
| 2713 |
+
{
|
| 2714 |
+
"epoch": 0.5041688379364252,
|
| 2715 |
+
"grad_norm": 0.9862634539604187,
|
| 2716 |
+
"learning_rate": 3.31117587090151e-05,
|
| 2717 |
+
"loss": 0.7676,
|
| 2718 |
+
"step": 387
|
| 2719 |
+
},
|
| 2720 |
+
{
|
| 2721 |
+
"epoch": 0.5054715997915581,
|
| 2722 |
+
"grad_norm": 1.0101540088653564,
|
| 2723 |
+
"learning_rate": 3.297582343139697e-05,
|
| 2724 |
+
"loss": 0.784,
|
| 2725 |
+
"step": 388
|
| 2726 |
+
},
|
| 2727 |
+
{
|
| 2728 |
+
"epoch": 0.506774361646691,
|
| 2729 |
+
"grad_norm": 1.0223101377487183,
|
| 2730 |
+
"learning_rate": 3.283987982722943e-05,
|
| 2731 |
+
"loss": 0.7899,
|
| 2732 |
+
"step": 389
|
| 2733 |
+
},
|
| 2734 |
+
{
|
| 2735 |
+
"epoch": 0.5080771235018239,
|
| 2736 |
+
"grad_norm": 1.0440499782562256,
|
| 2737 |
+
"learning_rate": 3.2703930275422554e-05,
|
| 2738 |
+
"loss": 0.764,
|
| 2739 |
+
"step": 390
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 0.5093798853569568,
|
| 2743 |
+
"grad_norm": 0.9758248925209045,
|
| 2744 |
+
"learning_rate": 3.256797715499041e-05,
|
| 2745 |
+
"loss": 0.785,
|
| 2746 |
+
"step": 391
|
| 2747 |
+
},
|
| 2748 |
+
{
|
| 2749 |
+
"epoch": 0.5106826472120897,
|
| 2750 |
+
"grad_norm": 1.0492044687271118,
|
| 2751 |
+
"learning_rate": 3.2432022845009586e-05,
|
| 2752 |
+
"loss": 0.8138,
|
| 2753 |
+
"step": 392
|
| 2754 |
+
},
|
| 2755 |
+
{
|
| 2756 |
+
"epoch": 0.5119854090672226,
|
| 2757 |
+
"grad_norm": 0.9614241719245911,
|
| 2758 |
+
"learning_rate": 3.229606972457745e-05,
|
| 2759 |
+
"loss": 0.7831,
|
| 2760 |
+
"step": 393
|
| 2761 |
+
},
|
| 2762 |
+
{
|
| 2763 |
+
"epoch": 0.5132881709223553,
|
| 2764 |
+
"grad_norm": 0.9824920296669006,
|
| 2765 |
+
"learning_rate": 3.216012017277056e-05,
|
| 2766 |
+
"loss": 0.797,
|
| 2767 |
+
"step": 394
|
| 2768 |
+
},
|
| 2769 |
+
{
|
| 2770 |
+
"epoch": 0.5145909327774882,
|
| 2771 |
+
"grad_norm": 0.9702708125114441,
|
| 2772 |
+
"learning_rate": 3.202417656860303e-05,
|
| 2773 |
+
"loss": 0.7841,
|
| 2774 |
+
"step": 395
|
| 2775 |
+
},
|
| 2776 |
+
{
|
| 2777 |
+
"epoch": 0.5158936946326211,
|
| 2778 |
+
"grad_norm": 1.0034425258636475,
|
| 2779 |
+
"learning_rate": 3.18882412909849e-05,
|
| 2780 |
+
"loss": 0.7732,
|
| 2781 |
+
"step": 396
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 0.517196456487754,
|
| 2785 |
+
"grad_norm": 0.9518890976905823,
|
| 2786 |
+
"learning_rate": 3.175231671868049e-05,
|
| 2787 |
+
"loss": 0.7917,
|
| 2788 |
+
"step": 397
|
| 2789 |
+
},
|
| 2790 |
+
{
|
| 2791 |
+
"epoch": 0.5184992183428869,
|
| 2792 |
+
"grad_norm": 0.9872190356254578,
|
| 2793 |
+
"learning_rate": 3.1616405230266765e-05,
|
| 2794 |
+
"loss": 0.8268,
|
| 2795 |
+
"step": 398
|
| 2796 |
+
},
|
| 2797 |
+
{
|
| 2798 |
+
"epoch": 0.5198019801980198,
|
| 2799 |
+
"grad_norm": 0.9964843988418579,
|
| 2800 |
+
"learning_rate": 3.14805092040918e-05,
|
| 2801 |
+
"loss": 0.8018,
|
| 2802 |
+
"step": 399
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 0.5211047420531527,
|
| 2806 |
+
"grad_norm": 0.9678840637207031,
|
| 2807 |
+
"learning_rate": 3.134463101823302e-05,
|
| 2808 |
+
"loss": 0.7752,
|
| 2809 |
+
"step": 400
|
| 2810 |
+
},
|
| 2811 |
+
{
|
| 2812 |
+
"epoch": 0.5224075039082856,
|
| 2813 |
+
"grad_norm": 1.0066790580749512,
|
| 2814 |
+
"learning_rate": 3.1208773050455704e-05,
|
| 2815 |
+
"loss": 0.8203,
|
| 2816 |
+
"step": 401
|
| 2817 |
+
},
|
| 2818 |
+
{
|
| 2819 |
+
"epoch": 0.5237102657634184,
|
| 2820 |
+
"grad_norm": 1.0079424381256104,
|
| 2821 |
+
"learning_rate": 3.10729376781713e-05,
|
| 2822 |
+
"loss": 0.7749,
|
| 2823 |
+
"step": 402
|
| 2824 |
+
},
|
| 2825 |
+
{
|
| 2826 |
+
"epoch": 0.5250130276185513,
|
| 2827 |
+
"grad_norm": 0.9970865249633789,
|
| 2828 |
+
"learning_rate": 3.093712727839586e-05,
|
| 2829 |
+
"loss": 0.7815,
|
| 2830 |
+
"step": 403
|
| 2831 |
+
},
|
| 2832 |
+
{
|
| 2833 |
+
"epoch": 0.5263157894736842,
|
| 2834 |
+
"grad_norm": 0.9871413111686707,
|
| 2835 |
+
"learning_rate": 3.080134422770844e-05,
|
| 2836 |
+
"loss": 0.8036,
|
| 2837 |
+
"step": 404
|
| 2838 |
+
},
|
| 2839 |
+
{
|
| 2840 |
+
"epoch": 0.5276185513288171,
|
| 2841 |
+
"grad_norm": 0.9559234380722046,
|
| 2842 |
+
"learning_rate": 3.066559090220955e-05,
|
| 2843 |
+
"loss": 0.7968,
|
| 2844 |
+
"step": 405
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 0.52892131318395,
|
| 2848 |
+
"grad_norm": 1.0165913105010986,
|
| 2849 |
+
"learning_rate": 3.052986967747944e-05,
|
| 2850 |
+
"loss": 0.7787,
|
| 2851 |
+
"step": 406
|
| 2852 |
+
},
|
| 2853 |
+
{
|
| 2854 |
+
"epoch": 0.5302240750390829,
|
| 2855 |
+
"grad_norm": 0.9621928334236145,
|
| 2856 |
+
"learning_rate": 3.0394182928536692e-05,
|
| 2857 |
+
"loss": 0.7982,
|
| 2858 |
+
"step": 407
|
| 2859 |
+
},
|
| 2860 |
+
{
|
| 2861 |
+
"epoch": 0.5315268368942158,
|
| 2862 |
+
"grad_norm": 0.9478201866149902,
|
| 2863 |
+
"learning_rate": 3.025853302979656e-05,
|
| 2864 |
+
"loss": 0.7643,
|
| 2865 |
+
"step": 408
|
| 2866 |
+
},
|
| 2867 |
+
{
|
| 2868 |
+
"epoch": 0.5328295987493487,
|
| 2869 |
+
"grad_norm": 0.9699729681015015,
|
| 2870 |
+
"learning_rate": 3.0122922355029468e-05,
|
| 2871 |
+
"loss": 0.8126,
|
| 2872 |
+
"step": 409
|
| 2873 |
+
},
|
| 2874 |
+
{
|
| 2875 |
+
"epoch": 0.5341323606044815,
|
| 2876 |
+
"grad_norm": 0.9657052755355835,
|
| 2877 |
+
"learning_rate": 2.9987353277319415e-05,
|
| 2878 |
+
"loss": 0.7492,
|
| 2879 |
+
"step": 410
|
| 2880 |
+
},
|
| 2881 |
+
{
|
| 2882 |
+
"epoch": 0.5354351224596143,
|
| 2883 |
+
"grad_norm": 0.9548848867416382,
|
| 2884 |
+
"learning_rate": 2.985182816902253e-05,
|
| 2885 |
+
"loss": 0.7524,
|
| 2886 |
+
"step": 411
|
| 2887 |
+
},
|
| 2888 |
+
{
|
| 2889 |
+
"epoch": 0.5367378843147472,
|
| 2890 |
+
"grad_norm": 0.9573311805725098,
|
| 2891 |
+
"learning_rate": 2.9716349401725466e-05,
|
| 2892 |
+
"loss": 0.7849,
|
| 2893 |
+
"step": 412
|
| 2894 |
+
},
|
| 2895 |
+
{
|
| 2896 |
+
"epoch": 0.5380406461698801,
|
| 2897 |
+
"grad_norm": 0.9521474242210388,
|
| 2898 |
+
"learning_rate": 2.9580919346203974e-05,
|
| 2899 |
+
"loss": 0.7649,
|
| 2900 |
+
"step": 413
|
| 2901 |
+
},
|
| 2902 |
+
{
|
| 2903 |
+
"epoch": 0.539343408025013,
|
| 2904 |
+
"grad_norm": 0.9720420241355896,
|
| 2905 |
+
"learning_rate": 2.944554037238137e-05,
|
| 2906 |
+
"loss": 0.7711,
|
| 2907 |
+
"step": 414
|
| 2908 |
+
},
|
| 2909 |
+
{
|
| 2910 |
+
"epoch": 0.5406461698801459,
|
| 2911 |
+
"grad_norm": 0.9932730197906494,
|
| 2912 |
+
"learning_rate": 2.9310214849287082e-05,
|
| 2913 |
+
"loss": 0.7859,
|
| 2914 |
+
"step": 415
|
| 2915 |
+
},
|
| 2916 |
+
{
|
| 2917 |
+
"epoch": 0.5419489317352788,
|
| 2918 |
+
"grad_norm": 0.9962913990020752,
|
| 2919 |
+
"learning_rate": 2.917494514501519e-05,
|
| 2920 |
+
"loss": 0.7431,
|
| 2921 |
+
"step": 416
|
| 2922 |
+
},
|
| 2923 |
+
{
|
| 2924 |
+
"epoch": 0.5432516935904117,
|
| 2925 |
+
"grad_norm": 1.0048481225967407,
|
| 2926 |
+
"learning_rate": 2.9039733626682997e-05,
|
| 2927 |
+
"loss": 0.8003,
|
| 2928 |
+
"step": 417
|
| 2929 |
+
},
|
| 2930 |
+
{
|
| 2931 |
+
"epoch": 0.5445544554455446,
|
| 2932 |
+
"grad_norm": 1.0100042819976807,
|
| 2933 |
+
"learning_rate": 2.8904582660389588e-05,
|
| 2934 |
+
"loss": 0.7943,
|
| 2935 |
+
"step": 418
|
| 2936 |
+
},
|
| 2937 |
+
{
|
| 2938 |
+
"epoch": 0.5458572173006775,
|
| 2939 |
+
"grad_norm": 0.9386914372444153,
|
| 2940 |
+
"learning_rate": 2.8769494611174438e-05,
|
| 2941 |
+
"loss": 0.7061,
|
| 2942 |
+
"step": 419
|
| 2943 |
+
},
|
| 2944 |
+
{
|
| 2945 |
+
"epoch": 0.5471599791558103,
|
| 2946 |
+
"grad_norm": 0.9435542225837708,
|
| 2947 |
+
"learning_rate": 2.8634471842976007e-05,
|
| 2948 |
+
"loss": 0.757,
|
| 2949 |
+
"step": 420
|
| 2950 |
+
},
|
| 2951 |
+
{
|
| 2952 |
+
"epoch": 0.5484627410109432,
|
| 2953 |
+
"grad_norm": 0.9891154766082764,
|
| 2954 |
+
"learning_rate": 2.8499516718590397e-05,
|
| 2955 |
+
"loss": 0.7592,
|
| 2956 |
+
"step": 421
|
| 2957 |
+
},
|
| 2958 |
+
{
|
| 2959 |
+
"epoch": 0.5497655028660761,
|
| 2960 |
+
"grad_norm": 0.9522406458854675,
|
| 2961 |
+
"learning_rate": 2.8364631599629983e-05,
|
| 2962 |
+
"loss": 0.7653,
|
| 2963 |
+
"step": 422
|
| 2964 |
+
},
|
| 2965 |
+
{
|
| 2966 |
+
"epoch": 0.551068264721209,
|
| 2967 |
+
"grad_norm": 0.9937999248504639,
|
| 2968 |
+
"learning_rate": 2.8229818846482137e-05,
|
| 2969 |
+
"loss": 0.7801,
|
| 2970 |
+
"step": 423
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 0.5523710265763419,
|
| 2974 |
+
"grad_norm": 0.9582085609436035,
|
| 2975 |
+
"learning_rate": 2.8095080818267844e-05,
|
| 2976 |
+
"loss": 0.7721,
|
| 2977 |
+
"step": 424
|
| 2978 |
+
},
|
| 2979 |
+
{
|
| 2980 |
+
"epoch": 0.5536737884314747,
|
| 2981 |
+
"grad_norm": 0.9662520885467529,
|
| 2982 |
+
"learning_rate": 2.7960419872800468e-05,
|
| 2983 |
+
"loss": 0.7382,
|
| 2984 |
+
"step": 425
|
| 2985 |
+
},
|
| 2986 |
+
{
|
| 2987 |
+
"epoch": 0.5549765502866076,
|
| 2988 |
+
"grad_norm": 0.9714727997779846,
|
| 2989 |
+
"learning_rate": 2.7825838366544486e-05,
|
| 2990 |
+
"loss": 0.7918,
|
| 2991 |
+
"step": 426
|
| 2992 |
+
},
|
| 2993 |
+
{
|
| 2994 |
+
"epoch": 0.5562793121417405,
|
| 2995 |
+
"grad_norm": 0.9601700305938721,
|
| 2996 |
+
"learning_rate": 2.7691338654574235e-05,
|
| 2997 |
+
"loss": 0.7797,
|
| 2998 |
+
"step": 427
|
| 2999 |
+
},
|
| 3000 |
+
{
|
| 3001 |
+
"epoch": 0.5575820739968733,
|
| 3002 |
+
"grad_norm": 1.0009185075759888,
|
| 3003 |
+
"learning_rate": 2.7556923090532765e-05,
|
| 3004 |
+
"loss": 0.7606,
|
| 3005 |
+
"step": 428
|
| 3006 |
+
},
|
| 3007 |
+
{
|
| 3008 |
+
"epoch": 0.5588848358520062,
|
| 3009 |
+
"grad_norm": 1.0026593208312988,
|
| 3010 |
+
"learning_rate": 2.7422594026590544e-05,
|
| 3011 |
+
"loss": 0.7902,
|
| 3012 |
+
"step": 429
|
| 3013 |
+
},
|
| 3014 |
+
{
|
| 3015 |
+
"epoch": 0.5601875977071391,
|
| 3016 |
+
"grad_norm": 0.9597018957138062,
|
| 3017 |
+
"learning_rate": 2.728835381340437e-05,
|
| 3018 |
+
"loss": 0.7998,
|
| 3019 |
+
"step": 430
|
| 3020 |
+
},
|
| 3021 |
+
{
|
| 3022 |
+
"epoch": 0.561490359562272,
|
| 3023 |
+
"grad_norm": 1.0047636032104492,
|
| 3024 |
+
"learning_rate": 2.715420480007623e-05,
|
| 3025 |
+
"loss": 0.7756,
|
| 3026 |
+
"step": 431
|
| 3027 |
+
},
|
| 3028 |
+
{
|
| 3029 |
+
"epoch": 0.5627931214174049,
|
| 3030 |
+
"grad_norm": 0.9273685216903687,
|
| 3031 |
+
"learning_rate": 2.702014933411218e-05,
|
| 3032 |
+
"loss": 0.7212,
|
| 3033 |
+
"step": 432
|
| 3034 |
+
},
|
| 3035 |
+
{
|
| 3036 |
+
"epoch": 0.5640958832725378,
|
| 3037 |
+
"grad_norm": 0.9448891282081604,
|
| 3038 |
+
"learning_rate": 2.6886189761381257e-05,
|
| 3039 |
+
"loss": 0.7973,
|
| 3040 |
+
"step": 433
|
| 3041 |
+
},
|
| 3042 |
+
{
|
| 3043 |
+
"epoch": 0.5653986451276707,
|
| 3044 |
+
"grad_norm": 0.993796706199646,
|
| 3045 |
+
"learning_rate": 2.6752328426074453e-05,
|
| 3046 |
+
"loss": 0.7812,
|
| 3047 |
+
"step": 434
|
| 3048 |
+
},
|
| 3049 |
+
{
|
| 3050 |
+
"epoch": 0.5667014069828036,
|
| 3051 |
+
"grad_norm": 0.9424161911010742,
|
| 3052 |
+
"learning_rate": 2.6618567670663682e-05,
|
| 3053 |
+
"loss": 0.7371,
|
| 3054 |
+
"step": 435
|
| 3055 |
+
},
|
| 3056 |
+
{
|
| 3057 |
+
"epoch": 0.5680041688379365,
|
| 3058 |
+
"grad_norm": 0.9722470641136169,
|
| 3059 |
+
"learning_rate": 2.648490983586077e-05,
|
| 3060 |
+
"loss": 0.7585,
|
| 3061 |
+
"step": 436
|
| 3062 |
+
},
|
| 3063 |
+
{
|
| 3064 |
+
"epoch": 0.5693069306930693,
|
| 3065 |
+
"grad_norm": 0.9650734066963196,
|
| 3066 |
+
"learning_rate": 2.635135726057652e-05,
|
| 3067 |
+
"loss": 0.7931,
|
| 3068 |
+
"step": 437
|
| 3069 |
+
},
|
| 3070 |
+
{
|
| 3071 |
+
"epoch": 0.5706096925482022,
|
| 3072 |
+
"grad_norm": 0.9851652383804321,
|
| 3073 |
+
"learning_rate": 2.621791228187977e-05,
|
| 3074 |
+
"loss": 0.7899,
|
| 3075 |
+
"step": 438
|
| 3076 |
+
},
|
| 3077 |
+
{
|
| 3078 |
+
"epoch": 0.571912454403335,
|
| 3079 |
+
"grad_norm": 0.9415690898895264,
|
| 3080 |
+
"learning_rate": 2.6084577234956492e-05,
|
| 3081 |
+
"loss": 0.7576,
|
| 3082 |
+
"step": 439
|
| 3083 |
+
},
|
| 3084 |
+
{
|
| 3085 |
+
"epoch": 0.5732152162584679,
|
| 3086 |
+
"grad_norm": 0.9792377352714539,
|
| 3087 |
+
"learning_rate": 2.5951354453068963e-05,
|
| 3088 |
+
"loss": 0.767,
|
| 3089 |
+
"step": 440
|
| 3090 |
+
},
|
| 3091 |
+
{
|
| 3092 |
+
"epoch": 0.5745179781136008,
|
| 3093 |
+
"grad_norm": 0.956155002117157,
|
| 3094 |
+
"learning_rate": 2.5818246267514877e-05,
|
| 3095 |
+
"loss": 0.7706,
|
| 3096 |
+
"step": 441
|
| 3097 |
+
},
|
| 3098 |
+
{
|
| 3099 |
+
"epoch": 0.5758207399687337,
|
| 3100 |
+
"grad_norm": 1.0018938779830933,
|
| 3101 |
+
"learning_rate": 2.5685255007586596e-05,
|
| 3102 |
+
"loss": 0.7977,
|
| 3103 |
+
"step": 442
|
| 3104 |
+
},
|
| 3105 |
+
{
|
| 3106 |
+
"epoch": 0.5771235018238666,
|
| 3107 |
+
"grad_norm": 0.9325889945030212,
|
| 3108 |
+
"learning_rate": 2.5552383000530368e-05,
|
| 3109 |
+
"loss": 0.7331,
|
| 3110 |
+
"step": 443
|
| 3111 |
+
},
|
| 3112 |
+
{
|
| 3113 |
+
"epoch": 0.5784262636789995,
|
| 3114 |
+
"grad_norm": 1.0071479082107544,
|
| 3115 |
+
"learning_rate": 2.541963257150559e-05,
|
| 3116 |
+
"loss": 0.8098,
|
| 3117 |
+
"step": 444
|
| 3118 |
+
},
|
| 3119 |
+
{
|
| 3120 |
+
"epoch": 0.5797290255341324,
|
| 3121 |
+
"grad_norm": 0.9542084336280823,
|
| 3122 |
+
"learning_rate": 2.528700604354415e-05,
|
| 3123 |
+
"loss": 0.7935,
|
| 3124 |
+
"step": 445
|
| 3125 |
+
},
|
| 3126 |
+
{
|
| 3127 |
+
"epoch": 0.5810317873892652,
|
| 3128 |
+
"grad_norm": 0.9786474704742432,
|
| 3129 |
+
"learning_rate": 2.5154505737509783e-05,
|
| 3130 |
+
"loss": 0.7787,
|
| 3131 |
+
"step": 446
|
| 3132 |
+
},
|
| 3133 |
+
{
|
| 3134 |
+
"epoch": 0.5823345492443981,
|
| 3135 |
+
"grad_norm": 1.0172762870788574,
|
| 3136 |
+
"learning_rate": 2.5022133972057408e-05,
|
| 3137 |
+
"loss": 0.7901,
|
| 3138 |
+
"step": 447
|
| 3139 |
+
},
|
| 3140 |
+
{
|
| 3141 |
+
"epoch": 0.583637311099531,
|
| 3142 |
+
"grad_norm": 0.9035043716430664,
|
| 3143 |
+
"learning_rate": 2.4889893063592575e-05,
|
| 3144 |
+
"loss": 0.7206,
|
| 3145 |
+
"step": 448
|
| 3146 |
+
},
|
| 3147 |
+
{
|
| 3148 |
+
"epoch": 0.5849400729546639,
|
| 3149 |
+
"grad_norm": 0.9805537462234497,
|
| 3150 |
+
"learning_rate": 2.4757785326230956e-05,
|
| 3151 |
+
"loss": 0.7885,
|
| 3152 |
+
"step": 449
|
| 3153 |
+
},
|
| 3154 |
+
{
|
| 3155 |
+
"epoch": 0.5862428348097968,
|
| 3156 |
+
"grad_norm": 0.9988163113594055,
|
| 3157 |
+
"learning_rate": 2.462581307175782e-05,
|
| 3158 |
+
"loss": 0.7653,
|
| 3159 |
+
"step": 450
|
| 3160 |
+
},
|
| 3161 |
+
{
|
| 3162 |
+
"epoch": 0.5875455966649297,
|
| 3163 |
+
"grad_norm": 0.9464346766471863,
|
| 3164 |
+
"learning_rate": 2.4493978609587585e-05,
|
| 3165 |
+
"loss": 0.7579,
|
| 3166 |
+
"step": 451
|
| 3167 |
+
},
|
| 3168 |
+
{
|
| 3169 |
+
"epoch": 0.5888483585200626,
|
| 3170 |
+
"grad_norm": 0.8832387328147888,
|
| 3171 |
+
"learning_rate": 2.4362284246723423e-05,
|
| 3172 |
+
"loss": 0.7006,
|
| 3173 |
+
"step": 452
|
| 3174 |
+
},
|
| 3175 |
+
{
|
| 3176 |
+
"epoch": 0.5901511203751955,
|
| 3177 |
+
"grad_norm": 1.0256978273391724,
|
| 3178 |
+
"learning_rate": 2.423073228771687e-05,
|
| 3179 |
+
"loss": 0.8271,
|
| 3180 |
+
"step": 453
|
| 3181 |
+
},
|
| 3182 |
+
{
|
| 3183 |
+
"epoch": 0.5914538822303282,
|
| 3184 |
+
"grad_norm": 0.9342496395111084,
|
| 3185 |
+
"learning_rate": 2.409932503462749e-05,
|
| 3186 |
+
"loss": 0.7142,
|
| 3187 |
+
"step": 454
|
| 3188 |
+
},
|
| 3189 |
+
{
|
| 3190 |
+
"epoch": 0.5927566440854611,
|
| 3191 |
+
"grad_norm": 0.9707951545715332,
|
| 3192 |
+
"learning_rate": 2.39680647869826e-05,
|
| 3193 |
+
"loss": 0.7556,
|
| 3194 |
+
"step": 455
|
| 3195 |
+
},
|
| 3196 |
+
{
|
| 3197 |
+
"epoch": 0.594059405940594,
|
| 3198 |
+
"grad_norm": 0.9290401339530945,
|
| 3199 |
+
"learning_rate": 2.383695384173706e-05,
|
| 3200 |
+
"loss": 0.7305,
|
| 3201 |
+
"step": 456
|
| 3202 |
+
},
|
| 3203 |
+
{
|
| 3204 |
+
"epoch": 0.5953621677957269,
|
| 3205 |
+
"grad_norm": 0.9683957099914551,
|
| 3206 |
+
"learning_rate": 2.3705994493233018e-05,
|
| 3207 |
+
"loss": 0.7383,
|
| 3208 |
+
"step": 457
|
| 3209 |
+
},
|
| 3210 |
+
{
|
| 3211 |
+
"epoch": 0.5966649296508598,
|
| 3212 |
+
"grad_norm": 0.9259218573570251,
|
| 3213 |
+
"learning_rate": 2.3575189033159826e-05,
|
| 3214 |
+
"loss": 0.7105,
|
| 3215 |
+
"step": 458
|
| 3216 |
+
},
|
| 3217 |
+
{
|
| 3218 |
+
"epoch": 0.5979676915059927,
|
| 3219 |
+
"grad_norm": 0.9563105702400208,
|
| 3220 |
+
"learning_rate": 2.3444539750513887e-05,
|
| 3221 |
+
"loss": 0.7737,
|
| 3222 |
+
"step": 459
|
| 3223 |
+
},
|
| 3224 |
+
{
|
| 3225 |
+
"epoch": 0.5992704533611256,
|
| 3226 |
+
"grad_norm": 0.9757603406906128,
|
| 3227 |
+
"learning_rate": 2.3314048931558614e-05,
|
| 3228 |
+
"loss": 0.7539,
|
| 3229 |
+
"step": 460
|
| 3230 |
+
},
|
| 3231 |
+
{
|
| 3232 |
+
"epoch": 0.6005732152162585,
|
| 3233 |
+
"grad_norm": 0.9185714721679688,
|
| 3234 |
+
"learning_rate": 2.3183718859784438e-05,
|
| 3235 |
+
"loss": 0.6981,
|
| 3236 |
+
"step": 461
|
| 3237 |
+
},
|
| 3238 |
+
{
|
| 3239 |
+
"epoch": 0.6018759770713914,
|
| 3240 |
+
"grad_norm": 1.016922116279602,
|
| 3241 |
+
"learning_rate": 2.3053551815868828e-05,
|
| 3242 |
+
"loss": 0.7765,
|
| 3243 |
+
"step": 462
|
| 3244 |
+
},
|
| 3245 |
+
{
|
| 3246 |
+
"epoch": 0.6031787389265242,
|
| 3247 |
+
"grad_norm": 0.9666367769241333,
|
| 3248 |
+
"learning_rate": 2.2923550077636375e-05,
|
| 3249 |
+
"loss": 0.7383,
|
| 3250 |
+
"step": 463
|
| 3251 |
+
},
|
| 3252 |
+
{
|
| 3253 |
+
"epoch": 0.6044815007816571,
|
| 3254 |
+
"grad_norm": 0.9038827419281006,
|
| 3255 |
+
"learning_rate": 2.2793715920018984e-05,
|
| 3256 |
+
"loss": 0.7251,
|
| 3257 |
+
"step": 464
|
| 3258 |
+
},
|
| 3259 |
+
{
|
| 3260 |
+
"epoch": 0.60578426263679,
|
| 3261 |
+
"grad_norm": 1.0051590204238892,
|
| 3262 |
+
"learning_rate": 2.2664051615015998e-05,
|
| 3263 |
+
"loss": 0.7762,
|
| 3264 |
+
"step": 465
|
| 3265 |
+
},
|
| 3266 |
+
{
|
| 3267 |
+
"epoch": 0.6070870244919229,
|
| 3268 |
+
"grad_norm": 0.9449974894523621,
|
| 3269 |
+
"learning_rate": 2.253455943165448e-05,
|
| 3270 |
+
"loss": 0.7366,
|
| 3271 |
+
"step": 466
|
| 3272 |
+
},
|
| 3273 |
+
{
|
| 3274 |
+
"epoch": 0.6083897863470558,
|
| 3275 |
+
"grad_norm": 0.9895748496055603,
|
| 3276 |
+
"learning_rate": 2.2405241635949466e-05,
|
| 3277 |
+
"loss": 0.7917,
|
| 3278 |
+
"step": 467
|
| 3279 |
+
},
|
| 3280 |
+
{
|
| 3281 |
+
"epoch": 0.6096925482021887,
|
| 3282 |
+
"grad_norm": 0.9719516038894653,
|
| 3283 |
+
"learning_rate": 2.2276100490864383e-05,
|
| 3284 |
+
"loss": 0.8011,
|
| 3285 |
+
"step": 468
|
| 3286 |
+
},
|
| 3287 |
+
{
|
| 3288 |
+
"epoch": 0.6109953100573216,
|
| 3289 |
+
"grad_norm": 1.0024269819259644,
|
| 3290 |
+
"learning_rate": 2.2147138256271367e-05,
|
| 3291 |
+
"loss": 0.82,
|
| 3292 |
+
"step": 469
|
| 3293 |
+
},
|
| 3294 |
+
{
|
| 3295 |
+
"epoch": 0.6122980719124544,
|
| 3296 |
+
"grad_norm": 0.9872387051582336,
|
| 3297 |
+
"learning_rate": 2.2018357188911808e-05,
|
| 3298 |
+
"loss": 0.8135,
|
| 3299 |
+
"step": 470
|
| 3300 |
+
},
|
| 3301 |
+
{
|
| 3302 |
+
"epoch": 0.6136008337675873,
|
| 3303 |
+
"grad_norm": 1.003280520439148,
|
| 3304 |
+
"learning_rate": 2.1889759542356744e-05,
|
| 3305 |
+
"loss": 0.7901,
|
| 3306 |
+
"step": 471
|
| 3307 |
+
},
|
| 3308 |
+
{
|
| 3309 |
+
"epoch": 0.6149035956227201,
|
| 3310 |
+
"grad_norm": 0.9519487023353577,
|
| 3311 |
+
"learning_rate": 2.1761347566967527e-05,
|
| 3312 |
+
"loss": 0.7363,
|
| 3313 |
+
"step": 472
|
| 3314 |
+
},
|
| 3315 |
+
{
|
| 3316 |
+
"epoch": 0.616206357477853,
|
| 3317 |
+
"grad_norm": 0.955209493637085,
|
| 3318 |
+
"learning_rate": 2.16331235098564e-05,
|
| 3319 |
+
"loss": 0.7903,
|
| 3320 |
+
"step": 473
|
| 3321 |
+
},
|
| 3322 |
+
{
|
| 3323 |
+
"epoch": 0.6175091193329859,
|
| 3324 |
+
"grad_norm": 0.9265815615653992,
|
| 3325 |
+
"learning_rate": 2.150508961484716e-05,
|
| 3326 |
+
"loss": 0.7099,
|
| 3327 |
+
"step": 474
|
| 3328 |
+
},
|
| 3329 |
+
{
|
| 3330 |
+
"epoch": 0.6188118811881188,
|
| 3331 |
+
"grad_norm": 0.9495141506195068,
|
| 3332 |
+
"learning_rate": 2.1377248122435933e-05,
|
| 3333 |
+
"loss": 0.7583,
|
| 3334 |
+
"step": 475
|
| 3335 |
+
},
|
| 3336 |
+
{
|
| 3337 |
+
"epoch": 0.6201146430432517,
|
| 3338 |
+
"grad_norm": 0.9717061519622803,
|
| 3339 |
+
"learning_rate": 2.124960126975194e-05,
|
| 3340 |
+
"loss": 0.7672,
|
| 3341 |
+
"step": 476
|
| 3342 |
+
},
|
| 3343 |
+
{
|
| 3344 |
+
"epoch": 0.6214174048983846,
|
| 3345 |
+
"grad_norm": 0.969534158706665,
|
| 3346 |
+
"learning_rate": 2.112215129051835e-05,
|
| 3347 |
+
"loss": 0.762,
|
| 3348 |
+
"step": 477
|
| 3349 |
+
},
|
| 3350 |
+
{
|
| 3351 |
+
"epoch": 0.6227201667535175,
|
| 3352 |
+
"grad_norm": 0.9770892858505249,
|
| 3353 |
+
"learning_rate": 2.0994900415013196e-05,
|
| 3354 |
+
"loss": 0.77,
|
| 3355 |
+
"step": 478
|
| 3356 |
+
},
|
| 3357 |
+
{
|
| 3358 |
+
"epoch": 0.6240229286086504,
|
| 3359 |
+
"grad_norm": 1.0208752155303955,
|
| 3360 |
+
"learning_rate": 2.0867850870030346e-05,
|
| 3361 |
+
"loss": 0.7682,
|
| 3362 |
+
"step": 479
|
| 3363 |
+
},
|
| 3364 |
+
{
|
| 3365 |
+
"epoch": 0.6253256904637832,
|
| 3366 |
+
"grad_norm": 0.9410081505775452,
|
| 3367 |
+
"learning_rate": 2.0741004878840553e-05,
|
| 3368 |
+
"loss": 0.7782,
|
| 3369 |
+
"step": 480
|
| 3370 |
+
},
|
| 3371 |
+
{
|
| 3372 |
+
"epoch": 0.6266284523189161,
|
| 3373 |
+
"grad_norm": 0.9654091000556946,
|
| 3374 |
+
"learning_rate": 2.0614364661152484e-05,
|
| 3375 |
+
"loss": 0.7565,
|
| 3376 |
+
"step": 481
|
| 3377 |
+
},
|
| 3378 |
+
{
|
| 3379 |
+
"epoch": 0.627931214174049,
|
| 3380 |
+
"grad_norm": 0.9786356091499329,
|
| 3381 |
+
"learning_rate": 2.0487932433073992e-05,
|
| 3382 |
+
"loss": 0.786,
|
| 3383 |
+
"step": 482
|
| 3384 |
+
},
|
| 3385 |
+
{
|
| 3386 |
+
"epoch": 0.6292339760291819,
|
| 3387 |
+
"grad_norm": 1.0080342292785645,
|
| 3388 |
+
"learning_rate": 2.0361710407073226e-05,
|
| 3389 |
+
"loss": 0.7865,
|
| 3390 |
+
"step": 483
|
| 3391 |
+
},
|
| 3392 |
+
{
|
| 3393 |
+
"epoch": 0.6305367378843147,
|
| 3394 |
+
"grad_norm": 0.9419269561767578,
|
| 3395 |
+
"learning_rate": 2.0235700791939983e-05,
|
| 3396 |
+
"loss": 0.726,
|
| 3397 |
+
"step": 484
|
| 3398 |
+
},
|
| 3399 |
+
{
|
| 3400 |
+
"epoch": 0.6318394997394476,
|
| 3401 |
+
"grad_norm": 0.9085276126861572,
|
| 3402 |
+
"learning_rate": 2.0109905792746994e-05,
|
| 3403 |
+
"loss": 0.6675,
|
| 3404 |
+
"step": 485
|
| 3405 |
+
},
|
| 3406 |
+
{
|
| 3407 |
+
"epoch": 0.6331422615945805,
|
| 3408 |
+
"grad_norm": 0.9954288601875305,
|
| 3409 |
+
"learning_rate": 1.9984327610811408e-05,
|
| 3410 |
+
"loss": 0.796,
|
| 3411 |
+
"step": 486
|
| 3412 |
+
},
|
| 3413 |
+
{
|
| 3414 |
+
"epoch": 0.6344450234497134,
|
| 3415 |
+
"grad_norm": 0.9211850762367249,
|
| 3416 |
+
"learning_rate": 1.9858968443656213e-05,
|
| 3417 |
+
"loss": 0.7299,
|
| 3418 |
+
"step": 487
|
| 3419 |
+
},
|
| 3420 |
+
{
|
| 3421 |
+
"epoch": 0.6357477853048463,
|
| 3422 |
+
"grad_norm": 0.952290415763855,
|
| 3423 |
+
"learning_rate": 1.973383048497185e-05,
|
| 3424 |
+
"loss": 0.7991,
|
| 3425 |
+
"step": 488
|
| 3426 |
+
},
|
| 3427 |
+
{
|
| 3428 |
+
"epoch": 0.6370505471599791,
|
| 3429 |
+
"grad_norm": 0.9324260950088501,
|
| 3430 |
+
"learning_rate": 1.9608915924577718e-05,
|
| 3431 |
+
"loss": 0.751,
|
| 3432 |
+
"step": 489
|
| 3433 |
+
},
|
| 3434 |
+
{
|
| 3435 |
+
"epoch": 0.638353309015112,
|
| 3436 |
+
"grad_norm": 0.9979082345962524,
|
| 3437 |
+
"learning_rate": 1.9484226948383953e-05,
|
| 3438 |
+
"loss": 0.8021,
|
| 3439 |
+
"step": 490
|
| 3440 |
+
},
|
| 3441 |
+
{
|
| 3442 |
+
"epoch": 0.6396560708702449,
|
| 3443 |
+
"grad_norm": 0.9517451524734497,
|
| 3444 |
+
"learning_rate": 1.9359765738353123e-05,
|
| 3445 |
+
"loss": 0.8041,
|
| 3446 |
+
"step": 491
|
| 3447 |
+
},
|
| 3448 |
+
{
|
| 3449 |
+
"epoch": 0.6409588327253778,
|
| 3450 |
+
"grad_norm": 1.0136103630065918,
|
| 3451 |
+
"learning_rate": 1.923553447246207e-05,
|
| 3452 |
+
"loss": 0.8362,
|
| 3453 |
+
"step": 492
|
| 3454 |
+
},
|
| 3455 |
+
{
|
| 3456 |
+
"epoch": 0.6422615945805107,
|
| 3457 |
+
"grad_norm": 0.939146101474762,
|
| 3458 |
+
"learning_rate": 1.9111535324663782e-05,
|
| 3459 |
+
"loss": 0.7419,
|
| 3460 |
+
"step": 493
|
| 3461 |
+
},
|
| 3462 |
+
{
|
| 3463 |
+
"epoch": 0.6435643564356436,
|
| 3464 |
+
"grad_norm": 0.9575389623641968,
|
| 3465 |
+
"learning_rate": 1.8987770464849367e-05,
|
| 3466 |
+
"loss": 0.7711,
|
| 3467 |
+
"step": 494
|
| 3468 |
+
},
|
| 3469 |
+
{
|
| 3470 |
+
"epoch": 0.6448671182907765,
|
| 3471 |
+
"grad_norm": 1.0068771839141846,
|
| 3472 |
+
"learning_rate": 1.8864242058810046e-05,
|
| 3473 |
+
"loss": 0.7811,
|
| 3474 |
+
"step": 495
|
| 3475 |
+
},
|
| 3476 |
+
{
|
| 3477 |
+
"epoch": 0.6461698801459094,
|
| 3478 |
+
"grad_norm": 0.9527457356452942,
|
| 3479 |
+
"learning_rate": 1.8740952268199326e-05,
|
| 3480 |
+
"loss": 0.7456,
|
| 3481 |
+
"step": 496
|
| 3482 |
+
},
|
| 3483 |
+
{
|
| 3484 |
+
"epoch": 0.6474726420010423,
|
| 3485 |
+
"grad_norm": 0.9728114008903503,
|
| 3486 |
+
"learning_rate": 1.861790325049507e-05,
|
| 3487 |
+
"loss": 0.7742,
|
| 3488 |
+
"step": 497
|
| 3489 |
+
},
|
| 3490 |
+
{
|
| 3491 |
+
"epoch": 0.648775403856175,
|
| 3492 |
+
"grad_norm": 0.9863789081573486,
|
| 3493 |
+
"learning_rate": 1.8495097158961796e-05,
|
| 3494 |
+
"loss": 0.8064,
|
| 3495 |
+
"step": 498
|
| 3496 |
+
},
|
| 3497 |
+
{
|
| 3498 |
+
"epoch": 0.6500781657113079,
|
| 3499 |
+
"grad_norm": 0.9904276132583618,
|
| 3500 |
+
"learning_rate": 1.8372536142613083e-05,
|
| 3501 |
+
"loss": 0.7901,
|
| 3502 |
+
"step": 499
|
| 3503 |
+
},
|
| 3504 |
+
{
|
| 3505 |
+
"epoch": 0.6513809275664408,
|
| 3506 |
+
"grad_norm": 0.9304032325744629,
|
| 3507 |
+
"learning_rate": 1.8250222346173787e-05,
|
| 3508 |
+
"loss": 0.7527,
|
| 3509 |
+
"step": 500
|
| 3510 |
+
},
|
| 3511 |
+
{
|
| 3512 |
+
"epoch": 0.6526836894215737,
|
| 3513 |
+
"grad_norm": 1.0106309652328491,
|
| 3514 |
+
"learning_rate": 1.8128157910042626e-05,
|
| 3515 |
+
"loss": 0.7908,
|
| 3516 |
+
"step": 501
|
| 3517 |
+
},
|
| 3518 |
+
{
|
| 3519 |
+
"epoch": 0.6539864512767066,
|
| 3520 |
+
"grad_norm": 0.9775118231773376,
|
| 3521 |
+
"learning_rate": 1.800634497025474e-05,
|
| 3522 |
+
"loss": 0.7575,
|
| 3523 |
+
"step": 502
|
| 3524 |
+
},
|
| 3525 |
+
{
|
| 3526 |
+
"epoch": 0.6552892131318395,
|
| 3527 |
+
"grad_norm": 0.9700849652290344,
|
| 3528 |
+
"learning_rate": 1.7884785658444217e-05,
|
| 3529 |
+
"loss": 0.7645,
|
| 3530 |
+
"step": 503
|
| 3531 |
+
},
|
| 3532 |
+
{
|
| 3533 |
+
"epoch": 0.6565919749869724,
|
| 3534 |
+
"grad_norm": 1.0006121397018433,
|
| 3535 |
+
"learning_rate": 1.776348210180689e-05,
|
| 3536 |
+
"loss": 0.7776,
|
| 3537 |
+
"step": 504
|
| 3538 |
+
},
|
| 3539 |
+
{
|
| 3540 |
+
"epoch": 0.6578947368421053,
|
| 3541 |
+
"grad_norm": 0.9359118938446045,
|
| 3542 |
+
"learning_rate": 1.764243642306307e-05,
|
| 3543 |
+
"loss": 0.7699,
|
| 3544 |
+
"step": 505
|
| 3545 |
+
},
|
| 3546 |
+
{
|
| 3547 |
+
"epoch": 0.6591974986972381,
|
| 3548 |
+
"grad_norm": 0.9702383279800415,
|
| 3549 |
+
"learning_rate": 1.7521650740420365e-05,
|
| 3550 |
+
"loss": 0.7779,
|
| 3551 |
+
"step": 506
|
| 3552 |
+
},
|
| 3553 |
+
{
|
| 3554 |
+
"epoch": 0.660500260552371,
|
| 3555 |
+
"grad_norm": 0.9199949502944946,
|
| 3556 |
+
"learning_rate": 1.740112716753669e-05,
|
| 3557 |
+
"loss": 0.7291,
|
| 3558 |
+
"step": 507
|
| 3559 |
+
},
|
| 3560 |
+
{
|
| 3561 |
+
"epoch": 0.6618030224075039,
|
| 3562 |
+
"grad_norm": 0.9978870153427124,
|
| 3563 |
+
"learning_rate": 1.7280867813483194e-05,
|
| 3564 |
+
"loss": 0.8007,
|
| 3565 |
+
"step": 508
|
| 3566 |
+
},
|
| 3567 |
+
{
|
| 3568 |
+
"epoch": 0.6631057842626368,
|
| 3569 |
+
"grad_norm": 1.000036597251892,
|
| 3570 |
+
"learning_rate": 1.7160874782707445e-05,
|
| 3571 |
+
"loss": 0.7971,
|
| 3572 |
+
"step": 509
|
| 3573 |
+
},
|
| 3574 |
+
{
|
| 3575 |
+
"epoch": 0.6644085461177697,
|
| 3576 |
+
"grad_norm": 1.0710171461105347,
|
| 3577 |
+
"learning_rate": 1.704115017499651e-05,
|
| 3578 |
+
"loss": 0.7708,
|
| 3579 |
+
"step": 510
|
| 3580 |
+
},
|
| 3581 |
+
{
|
| 3582 |
+
"epoch": 0.6657113079729026,
|
| 3583 |
+
"grad_norm": 1.030186653137207,
|
| 3584 |
+
"learning_rate": 1.6921696085440285e-05,
|
| 3585 |
+
"loss": 0.823,
|
| 3586 |
+
"step": 511
|
| 3587 |
+
},
|
| 3588 |
+
{
|
| 3589 |
+
"epoch": 0.6670140698280355,
|
| 3590 |
+
"grad_norm": 0.9758132100105286,
|
| 3591 |
+
"learning_rate": 1.6802514604394815e-05,
|
| 3592 |
+
"loss": 0.7555,
|
| 3593 |
+
"step": 512
|
| 3594 |
+
},
|
| 3595 |
+
{
|
| 3596 |
+
"epoch": 0.6683168316831684,
|
| 3597 |
+
"grad_norm": 0.95241379737854,
|
| 3598 |
+
"learning_rate": 1.668360781744565e-05,
|
| 3599 |
+
"loss": 0.7445,
|
| 3600 |
+
"step": 513
|
| 3601 |
+
},
|
| 3602 |
+
{
|
| 3603 |
+
"epoch": 0.6696195935383012,
|
| 3604 |
+
"grad_norm": 0.9561266899108887,
|
| 3605 |
+
"learning_rate": 1.6564977805371468e-05,
|
| 3606 |
+
"loss": 0.7633,
|
| 3607 |
+
"step": 514
|
| 3608 |
+
},
|
| 3609 |
+
{
|
| 3610 |
+
"epoch": 0.670922355393434,
|
| 3611 |
+
"grad_norm": 0.9512428641319275,
|
| 3612 |
+
"learning_rate": 1.644662664410754e-05,
|
| 3613 |
+
"loss": 0.8086,
|
| 3614 |
+
"step": 515
|
| 3615 |
+
},
|
| 3616 |
+
{
|
| 3617 |
+
"epoch": 0.6722251172485669,
|
| 3618 |
+
"grad_norm": 0.9314407110214233,
|
| 3619 |
+
"learning_rate": 1.632855640470947e-05,
|
| 3620 |
+
"loss": 0.7567,
|
| 3621 |
+
"step": 516
|
| 3622 |
+
},
|
| 3623 |
+
{
|
| 3624 |
+
"epoch": 0.6735278791036998,
|
| 3625 |
+
"grad_norm": 0.9906071424484253,
|
| 3626 |
+
"learning_rate": 1.6210769153316998e-05,
|
| 3627 |
+
"loss": 0.7736,
|
| 3628 |
+
"step": 517
|
| 3629 |
+
},
|
| 3630 |
+
{
|
| 3631 |
+
"epoch": 0.6748306409588327,
|
| 3632 |
+
"grad_norm": 0.9421218633651733,
|
| 3633 |
+
"learning_rate": 1.609326695111772e-05,
|
| 3634 |
+
"loss": 0.7363,
|
| 3635 |
+
"step": 518
|
| 3636 |
+
},
|
| 3637 |
+
{
|
| 3638 |
+
"epoch": 0.6761334028139656,
|
| 3639 |
+
"grad_norm": 0.9556782245635986,
|
| 3640 |
+
"learning_rate": 1.59760518543111e-05,
|
| 3641 |
+
"loss": 0.7377,
|
| 3642 |
+
"step": 519
|
| 3643 |
+
},
|
| 3644 |
+
{
|
| 3645 |
+
"epoch": 0.6774361646690985,
|
| 3646 |
+
"grad_norm": 0.9987593293190002,
|
| 3647 |
+
"learning_rate": 1.5859125914072512e-05,
|
| 3648 |
+
"loss": 0.7957,
|
| 3649 |
+
"step": 520
|
| 3650 |
+
},
|
| 3651 |
+
{
|
| 3652 |
+
"epoch": 0.6787389265242314,
|
| 3653 |
+
"grad_norm": 0.9779931902885437,
|
| 3654 |
+
"learning_rate": 1.5742491176517264e-05,
|
| 3655 |
+
"loss": 0.7537,
|
| 3656 |
+
"step": 521
|
| 3657 |
+
},
|
| 3658 |
+
{
|
| 3659 |
+
"epoch": 0.6800416883793643,
|
| 3660 |
+
"grad_norm": 0.9649803638458252,
|
| 3661 |
+
"learning_rate": 1.5626149682664862e-05,
|
| 3662 |
+
"loss": 0.7694,
|
| 3663 |
+
"step": 522
|
| 3664 |
+
},
|
| 3665 |
+
{
|
| 3666 |
+
"epoch": 0.6813444502344971,
|
| 3667 |
+
"grad_norm": 0.9432051777839661,
|
| 3668 |
+
"learning_rate": 1.551010346840329e-05,
|
| 3669 |
+
"loss": 0.7248,
|
| 3670 |
+
"step": 523
|
| 3671 |
+
},
|
| 3672 |
+
{
|
| 3673 |
+
"epoch": 0.68264721208963,
|
| 3674 |
+
"grad_norm": 0.9498631954193115,
|
| 3675 |
+
"learning_rate": 1.5394354564453304e-05,
|
| 3676 |
+
"loss": 0.8328,
|
| 3677 |
+
"step": 524
|
| 3678 |
+
},
|
| 3679 |
+
{
|
| 3680 |
+
"epoch": 0.6839499739447629,
|
| 3681 |
+
"grad_norm": 0.9393202662467957,
|
| 3682 |
+
"learning_rate": 1.527890499633302e-05,
|
| 3683 |
+
"loss": 0.7467,
|
| 3684 |
+
"step": 525
|
| 3685 |
+
},
|
| 3686 |
+
{
|
| 3687 |
+
"epoch": 0.6852527357998958,
|
| 3688 |
+
"grad_norm": 0.9452553391456604,
|
| 3689 |
+
"learning_rate": 1.5163756784322351e-05,
|
| 3690 |
+
"loss": 0.7566,
|
| 3691 |
+
"step": 526
|
| 3692 |
+
},
|
| 3693 |
+
{
|
| 3694 |
+
"epoch": 0.6865554976550287,
|
| 3695 |
+
"grad_norm": 0.94024258852005,
|
| 3696 |
+
"learning_rate": 1.5048911943427747e-05,
|
| 3697 |
+
"loss": 0.7374,
|
| 3698 |
+
"step": 527
|
| 3699 |
+
},
|
| 3700 |
+
{
|
| 3701 |
+
"epoch": 0.6878582595101616,
|
| 3702 |
+
"grad_norm": 0.9636396765708923,
|
| 3703 |
+
"learning_rate": 1.4934372483346853e-05,
|
| 3704 |
+
"loss": 0.7694,
|
| 3705 |
+
"step": 528
|
| 3706 |
+
},
|
| 3707 |
+
{
|
| 3708 |
+
"epoch": 0.6891610213652944,
|
| 3709 |
+
"grad_norm": 0.9581491947174072,
|
| 3710 |
+
"learning_rate": 1.482014040843342e-05,
|
| 3711 |
+
"loss": 0.7678,
|
| 3712 |
+
"step": 529
|
| 3713 |
+
},
|
| 3714 |
+
{
|
| 3715 |
+
"epoch": 0.6904637832204273,
|
| 3716 |
+
"grad_norm": 0.9386518597602844,
|
| 3717 |
+
"learning_rate": 1.4706217717662188e-05,
|
| 3718 |
+
"loss": 0.7297,
|
| 3719 |
+
"step": 530
|
| 3720 |
+
},
|
| 3721 |
+
{
|
| 3722 |
+
"epoch": 0.6917665450755602,
|
| 3723 |
+
"grad_norm": 0.9576655030250549,
|
| 3724 |
+
"learning_rate": 1.4592606404593866e-05,
|
| 3725 |
+
"loss": 0.7353,
|
| 3726 |
+
"step": 531
|
| 3727 |
+
},
|
| 3728 |
+
{
|
| 3729 |
+
"epoch": 0.693069306930693,
|
| 3730 |
+
"grad_norm": 0.9293531775474548,
|
| 3731 |
+
"learning_rate": 1.447930845734035e-05,
|
| 3732 |
+
"loss": 0.7473,
|
| 3733 |
+
"step": 532
|
| 3734 |
+
},
|
| 3735 |
+
{
|
| 3736 |
+
"epoch": 0.6943720687858259,
|
| 3737 |
+
"grad_norm": 1.092103362083435,
|
| 3738 |
+
"learning_rate": 1.436632585852982e-05,
|
| 3739 |
+
"loss": 0.8341,
|
| 3740 |
+
"step": 533
|
| 3741 |
+
},
|
| 3742 |
+
{
|
| 3743 |
+
"epoch": 0.6956748306409588,
|
| 3744 |
+
"grad_norm": 0.9893858432769775,
|
| 3745 |
+
"learning_rate": 1.4253660585272107e-05,
|
| 3746 |
+
"loss": 0.8196,
|
| 3747 |
+
"step": 534
|
| 3748 |
+
},
|
| 3749 |
+
{
|
| 3750 |
+
"epoch": 0.6969775924960917,
|
| 3751 |
+
"grad_norm": 0.9730793833732605,
|
| 3752 |
+
"learning_rate": 1.4141314609124138e-05,
|
| 3753 |
+
"loss": 0.7769,
|
| 3754 |
+
"step": 535
|
| 3755 |
+
},
|
| 3756 |
+
{
|
| 3757 |
+
"epoch": 0.6982803543512246,
|
| 3758 |
+
"grad_norm": 0.9343295097351074,
|
| 3759 |
+
"learning_rate": 1.4029289896055306e-05,
|
| 3760 |
+
"loss": 0.7712,
|
| 3761 |
+
"step": 536
|
| 3762 |
+
},
|
| 3763 |
+
{
|
| 3764 |
+
"epoch": 0.6995831162063575,
|
| 3765 |
+
"grad_norm": 0.9929169416427612,
|
| 3766 |
+
"learning_rate": 1.3917588406413202e-05,
|
| 3767 |
+
"loss": 0.7903,
|
| 3768 |
+
"step": 537
|
| 3769 |
+
},
|
| 3770 |
+
{
|
| 3771 |
+
"epoch": 0.7008858780614904,
|
| 3772 |
+
"grad_norm": 0.9541279077529907,
|
| 3773 |
+
"learning_rate": 1.3806212094889223e-05,
|
| 3774 |
+
"loss": 0.7502,
|
| 3775 |
+
"step": 538
|
| 3776 |
+
},
|
| 3777 |
+
{
|
| 3778 |
+
"epoch": 0.7021886399166233,
|
| 3779 |
+
"grad_norm": 0.9835225343704224,
|
| 3780 |
+
"learning_rate": 1.3695162910484382e-05,
|
| 3781 |
+
"loss": 0.7524,
|
| 3782 |
+
"step": 539
|
| 3783 |
+
},
|
| 3784 |
+
{
|
| 3785 |
+
"epoch": 0.7034914017717562,
|
| 3786 |
+
"grad_norm": 0.9914178252220154,
|
| 3787 |
+
"learning_rate": 1.3584442796475251e-05,
|
| 3788 |
+
"loss": 0.7724,
|
| 3789 |
+
"step": 540
|
| 3790 |
+
},
|
| 3791 |
+
{
|
| 3792 |
+
"epoch": 0.704794163626889,
|
| 3793 |
+
"grad_norm": 0.9173280000686646,
|
| 3794 |
+
"learning_rate": 1.3474053690379918e-05,
|
| 3795 |
+
"loss": 0.6813,
|
| 3796 |
+
"step": 541
|
| 3797 |
+
},
|
| 3798 |
+
{
|
| 3799 |
+
"epoch": 0.7060969254820219,
|
| 3800 |
+
"grad_norm": 0.9709863662719727,
|
| 3801 |
+
"learning_rate": 1.3363997523924042e-05,
|
| 3802 |
+
"loss": 0.7565,
|
| 3803 |
+
"step": 542
|
| 3804 |
+
},
|
| 3805 |
+
{
|
| 3806 |
+
"epoch": 0.7073996873371547,
|
| 3807 |
+
"grad_norm": 0.9641502499580383,
|
| 3808 |
+
"learning_rate": 1.3254276223007141e-05,
|
| 3809 |
+
"loss": 0.7395,
|
| 3810 |
+
"step": 543
|
| 3811 |
+
},
|
| 3812 |
+
{
|
| 3813 |
+
"epoch": 0.7087024491922876,
|
| 3814 |
+
"grad_norm": 0.9294100999832153,
|
| 3815 |
+
"learning_rate": 1.314489170766879e-05,
|
| 3816 |
+
"loss": 0.7741,
|
| 3817 |
+
"step": 544
|
| 3818 |
+
},
|
| 3819 |
+
{
|
| 3820 |
+
"epoch": 0.7100052110474205,
|
| 3821 |
+
"grad_norm": 0.9462564587593079,
|
| 3822 |
+
"learning_rate": 1.3035845892055128e-05,
|
| 3823 |
+
"loss": 0.761,
|
| 3824 |
+
"step": 545
|
| 3825 |
+
},
|
| 3826 |
+
{
|
| 3827 |
+
"epoch": 0.7113079729025534,
|
| 3828 |
+
"grad_norm": 0.9625933170318604,
|
| 3829 |
+
"learning_rate": 1.2927140684385248e-05,
|
| 3830 |
+
"loss": 0.7662,
|
| 3831 |
+
"step": 546
|
| 3832 |
+
},
|
| 3833 |
+
{
|
| 3834 |
+
"epoch": 0.7126107347576863,
|
| 3835 |
+
"grad_norm": 0.9940834641456604,
|
| 3836 |
+
"learning_rate": 1.2818777986917903e-05,
|
| 3837 |
+
"loss": 0.783,
|
| 3838 |
+
"step": 547
|
| 3839 |
+
},
|
| 3840 |
+
{
|
| 3841 |
+
"epoch": 0.7139134966128192,
|
| 3842 |
+
"grad_norm": 0.9370533227920532,
|
| 3843 |
+
"learning_rate": 1.2710759695918178e-05,
|
| 3844 |
+
"loss": 0.7543,
|
| 3845 |
+
"step": 548
|
| 3846 |
+
},
|
| 3847 |
+
{
|
| 3848 |
+
"epoch": 0.715216258467952,
|
| 3849 |
+
"grad_norm": 0.9274430871009827,
|
| 3850 |
+
"learning_rate": 1.2603087701624259e-05,
|
| 3851 |
+
"loss": 0.7507,
|
| 3852 |
+
"step": 549
|
| 3853 |
+
},
|
| 3854 |
+
{
|
| 3855 |
+
"epoch": 0.7165190203230849,
|
| 3856 |
+
"grad_norm": 0.9402637481689453,
|
| 3857 |
+
"learning_rate": 1.249576388821447e-05,
|
| 3858 |
+
"loss": 0.7265,
|
| 3859 |
+
"step": 550
|
| 3860 |
+
}
|
| 3861 |
+
],
|
| 3862 |
+
"logging_steps": 1,
|
| 3863 |
+
"max_steps": 767,
|
| 3864 |
+
"num_input_tokens_seen": 0,
|
| 3865 |
+
"num_train_epochs": 1,
|
| 3866 |
+
"save_steps": 50,
|
| 3867 |
+
"stateful_callbacks": {
|
| 3868 |
+
"TrainerControl": {
|
| 3869 |
+
"args": {
|
| 3870 |
+
"should_epoch_stop": false,
|
| 3871 |
+
"should_evaluate": false,
|
| 3872 |
+
"should_log": false,
|
| 3873 |
+
"should_save": true,
|
| 3874 |
+
"should_training_stop": false
|
| 3875 |
+
},
|
| 3876 |
+
"attributes": {}
|
| 3877 |
+
}
|
| 3878 |
+
},
|
| 3879 |
+
"total_flos": 8.456522095204762e+17,
|
| 3880 |
+
"train_batch_size": 6,
|
| 3881 |
+
"trial_name": null,
|
| 3882 |
+
"trial_params": null
|
| 3883 |
+
}
|
checkpoint-550/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b9054b55a25e42134ca151327e1926787ad9ade1c4a5492e0a216b339b3bfa1c
|
| 3 |
+
size 5432
|