Add NER LoRA checkpoint (checkpoints/ner-wikiann-bert-smoke)
#5
by
SHA888
- opened
- checkpoints/ner-wikiann-bert-smoke/README.md +206 -0
- checkpoints/ner-wikiann-bert-smoke/adapter_config.json +40 -0
- checkpoints/ner-wikiann-bert-smoke/adapter_model.safetensors +3 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/README.md +206 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/adapter_config.json +40 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/adapter_model.safetensors +3 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/optimizer.pt +3 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/rng_state.pth +3 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/scheduler.pt +3 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/special_tokens_map.json +7 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/tokenizer.json +0 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/tokenizer_config.json +56 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/trainer_state.json +1796 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/training_args.bin +3 -0
- checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/vocab.txt +0 -0
- checkpoints/ner-wikiann-bert-smoke/special_tokens_map.json +7 -0
- checkpoints/ner-wikiann-bert-smoke/tokenizer.json +0 -0
- checkpoints/ner-wikiann-bert-smoke/tokenizer_config.json +56 -0
- checkpoints/ner-wikiann-bert-smoke/vocab.txt +0 -0
checkpoints/ner-wikiann-bert-smoke/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: bert-base-cased
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:bert-base-cased
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.17.1
|
checkpoints/ner-wikiann-bert-smoke/adapter_config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "bert-base-cased",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": [
|
| 22 |
+
"classifier",
|
| 23 |
+
"score"
|
| 24 |
+
],
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 8,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"value",
|
| 32 |
+
"query"
|
| 33 |
+
],
|
| 34 |
+
"target_parameters": null,
|
| 35 |
+
"task_type": "TOKEN_CLS",
|
| 36 |
+
"trainable_token_indices": null,
|
| 37 |
+
"use_dora": false,
|
| 38 |
+
"use_qalora": false,
|
| 39 |
+
"use_rslora": false
|
| 40 |
+
}
|
checkpoints/ner-wikiann-bert-smoke/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8bb93371ec4eb323bf453e66bdc4110c3bfa598c0a133faaf661c4e7afcabecc
|
| 3 |
+
size 1208052
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: bert-base-cased
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:bert-base-cased
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.17.1
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/adapter_config.json
ADDED
|
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "bert-base-cased",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 16,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": [
|
| 22 |
+
"classifier",
|
| 23 |
+
"score"
|
| 24 |
+
],
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"qalora_group_size": 16,
|
| 27 |
+
"r": 8,
|
| 28 |
+
"rank_pattern": {},
|
| 29 |
+
"revision": null,
|
| 30 |
+
"target_modules": [
|
| 31 |
+
"value",
|
| 32 |
+
"query"
|
| 33 |
+
],
|
| 34 |
+
"target_parameters": null,
|
| 35 |
+
"task_type": "TOKEN_CLS",
|
| 36 |
+
"trainable_token_indices": null,
|
| 37 |
+
"use_dora": false,
|
| 38 |
+
"use_qalora": false,
|
| 39 |
+
"use_rslora": false
|
| 40 |
+
}
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8bb93371ec4eb323bf453e66bdc4110c3bfa598c0a133faaf661c4e7afcabecc
|
| 3 |
+
size 1208052
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bee40b7f0ed2dfab88684f1401268be0581871a8769b7770d51dff3bb4af145d
|
| 3 |
+
size 2445771
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee49f7c2a7be0f5271687059660052b26a1738f92fff221cd3fe6de0c4bbf6b2
|
| 3 |
+
size 14645
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7452baf421186c7ecb17aca0bed967e1dda02ffe91de0d6aa55e68a1398920e2
|
| 3 |
+
size 1465
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/tokenizer_config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": false,
|
| 47 |
+
"extra_special_tokens": {},
|
| 48 |
+
"mask_token": "[MASK]",
|
| 49 |
+
"model_max_length": 512,
|
| 50 |
+
"pad_token": "[PAD]",
|
| 51 |
+
"sep_token": "[SEP]",
|
| 52 |
+
"strip_accents": null,
|
| 53 |
+
"tokenize_chinese_chars": true,
|
| 54 |
+
"tokenizer_class": "BertTokenizer",
|
| 55 |
+
"unk_token": "[UNK]"
|
| 56 |
+
}
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/trainer_state.json
ADDED
|
@@ -0,0 +1,1796 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 2500,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.004,
|
| 14 |
+
"grad_norm": 3.243311882019043,
|
| 15 |
+
"learning_rate": 1.9928e-05,
|
| 16 |
+
"loss": 1.9443,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.008,
|
| 21 |
+
"grad_norm": 3.4340174198150635,
|
| 22 |
+
"learning_rate": 1.9848e-05,
|
| 23 |
+
"loss": 1.9473,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.012,
|
| 28 |
+
"grad_norm": 3.3173458576202393,
|
| 29 |
+
"learning_rate": 1.9768e-05,
|
| 30 |
+
"loss": 1.9152,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.016,
|
| 35 |
+
"grad_norm": 5.302436351776123,
|
| 36 |
+
"learning_rate": 1.9688000000000002e-05,
|
| 37 |
+
"loss": 1.9221,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.02,
|
| 42 |
+
"grad_norm": 3.962202548980713,
|
| 43 |
+
"learning_rate": 1.9608000000000003e-05,
|
| 44 |
+
"loss": 1.8838,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.024,
|
| 49 |
+
"grad_norm": 3.301600933074951,
|
| 50 |
+
"learning_rate": 1.9528000000000003e-05,
|
| 51 |
+
"loss": 1.8561,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.028,
|
| 56 |
+
"grad_norm": 3.8835692405700684,
|
| 57 |
+
"learning_rate": 1.9448e-05,
|
| 58 |
+
"loss": 1.8696,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.032,
|
| 63 |
+
"grad_norm": 4.735332012176514,
|
| 64 |
+
"learning_rate": 1.9368e-05,
|
| 65 |
+
"loss": 1.8405,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.036,
|
| 70 |
+
"grad_norm": 3.618642568588257,
|
| 71 |
+
"learning_rate": 1.9288000000000002e-05,
|
| 72 |
+
"loss": 1.8151,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.04,
|
| 77 |
+
"grad_norm": 5.779294013977051,
|
| 78 |
+
"learning_rate": 1.9208000000000003e-05,
|
| 79 |
+
"loss": 1.8103,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.044,
|
| 84 |
+
"grad_norm": 4.251532554626465,
|
| 85 |
+
"learning_rate": 1.9128e-05,
|
| 86 |
+
"loss": 1.8145,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.048,
|
| 91 |
+
"grad_norm": 4.306429862976074,
|
| 92 |
+
"learning_rate": 1.9048e-05,
|
| 93 |
+
"loss": 1.7743,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.052,
|
| 98 |
+
"grad_norm": 2.939504623413086,
|
| 99 |
+
"learning_rate": 1.8968000000000002e-05,
|
| 100 |
+
"loss": 1.7805,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.056,
|
| 105 |
+
"grad_norm": 3.0483181476593018,
|
| 106 |
+
"learning_rate": 1.8888000000000003e-05,
|
| 107 |
+
"loss": 1.7268,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.06,
|
| 112 |
+
"grad_norm": 2.478515386581421,
|
| 113 |
+
"learning_rate": 1.8808e-05,
|
| 114 |
+
"loss": 1.6992,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.064,
|
| 119 |
+
"grad_norm": 3.3856873512268066,
|
| 120 |
+
"learning_rate": 1.8728e-05,
|
| 121 |
+
"loss": 1.7258,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.068,
|
| 126 |
+
"grad_norm": 2.6437103748321533,
|
| 127 |
+
"learning_rate": 1.8648000000000002e-05,
|
| 128 |
+
"loss": 1.6494,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.072,
|
| 133 |
+
"grad_norm": 3.571794033050537,
|
| 134 |
+
"learning_rate": 1.8568000000000002e-05,
|
| 135 |
+
"loss": 1.6458,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.076,
|
| 140 |
+
"grad_norm": 3.8345205783843994,
|
| 141 |
+
"learning_rate": 1.8488e-05,
|
| 142 |
+
"loss": 1.6268,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.08,
|
| 147 |
+
"grad_norm": 2.661442995071411,
|
| 148 |
+
"learning_rate": 1.8408e-05,
|
| 149 |
+
"loss": 1.5826,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.084,
|
| 154 |
+
"grad_norm": 2.9777419567108154,
|
| 155 |
+
"learning_rate": 1.8328e-05,
|
| 156 |
+
"loss": 1.563,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.088,
|
| 161 |
+
"grad_norm": 3.143165349960327,
|
| 162 |
+
"learning_rate": 1.8248000000000002e-05,
|
| 163 |
+
"loss": 1.5037,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.092,
|
| 168 |
+
"grad_norm": 3.133349657058716,
|
| 169 |
+
"learning_rate": 1.8168e-05,
|
| 170 |
+
"loss": 1.5133,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.096,
|
| 175 |
+
"grad_norm": 2.9322919845581055,
|
| 176 |
+
"learning_rate": 1.8088e-05,
|
| 177 |
+
"loss": 1.4559,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.1,
|
| 182 |
+
"grad_norm": 3.060082197189331,
|
| 183 |
+
"learning_rate": 1.8008e-05,
|
| 184 |
+
"loss": 1.4318,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.104,
|
| 189 |
+
"grad_norm": 1.9127253293991089,
|
| 190 |
+
"learning_rate": 1.7928000000000002e-05,
|
| 191 |
+
"loss": 1.5185,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.108,
|
| 196 |
+
"grad_norm": 2.1275875568389893,
|
| 197 |
+
"learning_rate": 1.7848e-05,
|
| 198 |
+
"loss": 1.4826,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.112,
|
| 203 |
+
"grad_norm": 2.2487740516662598,
|
| 204 |
+
"learning_rate": 1.7768e-05,
|
| 205 |
+
"loss": 1.5274,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.116,
|
| 210 |
+
"grad_norm": 2.3608744144439697,
|
| 211 |
+
"learning_rate": 1.7688e-05,
|
| 212 |
+
"loss": 1.4483,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.12,
|
| 217 |
+
"grad_norm": 2.2422122955322266,
|
| 218 |
+
"learning_rate": 1.7608e-05,
|
| 219 |
+
"loss": 1.4307,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.124,
|
| 224 |
+
"grad_norm": 2.0272817611694336,
|
| 225 |
+
"learning_rate": 1.7528e-05,
|
| 226 |
+
"loss": 1.4409,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.128,
|
| 231 |
+
"grad_norm": 2.469334363937378,
|
| 232 |
+
"learning_rate": 1.7448e-05,
|
| 233 |
+
"loss": 1.3973,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.132,
|
| 238 |
+
"grad_norm": 2.6341335773468018,
|
| 239 |
+
"learning_rate": 1.7368e-05,
|
| 240 |
+
"loss": 1.479,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.136,
|
| 245 |
+
"grad_norm": 2.263126850128174,
|
| 246 |
+
"learning_rate": 1.7288e-05,
|
| 247 |
+
"loss": 1.361,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.14,
|
| 252 |
+
"grad_norm": 2.4379866123199463,
|
| 253 |
+
"learning_rate": 1.7208000000000002e-05,
|
| 254 |
+
"loss": 1.3741,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.144,
|
| 259 |
+
"grad_norm": 1.9549463987350464,
|
| 260 |
+
"learning_rate": 1.7128000000000003e-05,
|
| 261 |
+
"loss": 1.3458,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.148,
|
| 266 |
+
"grad_norm": 1.8918944597244263,
|
| 267 |
+
"learning_rate": 1.7048000000000003e-05,
|
| 268 |
+
"loss": 1.3627,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.152,
|
| 273 |
+
"grad_norm": 2.4447574615478516,
|
| 274 |
+
"learning_rate": 1.6968e-05,
|
| 275 |
+
"loss": 1.4518,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.156,
|
| 280 |
+
"grad_norm": 2.7350759506225586,
|
| 281 |
+
"learning_rate": 1.6888e-05,
|
| 282 |
+
"loss": 1.2062,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.16,
|
| 287 |
+
"grad_norm": 5.4455156326293945,
|
| 288 |
+
"learning_rate": 1.6808000000000002e-05,
|
| 289 |
+
"loss": 1.3981,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.164,
|
| 294 |
+
"grad_norm": 2.918653964996338,
|
| 295 |
+
"learning_rate": 1.6728000000000003e-05,
|
| 296 |
+
"loss": 1.3089,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.168,
|
| 301 |
+
"grad_norm": 2.46914005279541,
|
| 302 |
+
"learning_rate": 1.6648e-05,
|
| 303 |
+
"loss": 1.3386,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.172,
|
| 308 |
+
"grad_norm": 2.6897878646850586,
|
| 309 |
+
"learning_rate": 1.6568e-05,
|
| 310 |
+
"loss": 1.2054,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.176,
|
| 315 |
+
"grad_norm": 2.6565287113189697,
|
| 316 |
+
"learning_rate": 1.6488000000000002e-05,
|
| 317 |
+
"loss": 1.3508,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.18,
|
| 322 |
+
"grad_norm": 2.7012150287628174,
|
| 323 |
+
"learning_rate": 1.6408000000000003e-05,
|
| 324 |
+
"loss": 1.2383,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.184,
|
| 329 |
+
"grad_norm": 2.4276187419891357,
|
| 330 |
+
"learning_rate": 1.6328e-05,
|
| 331 |
+
"loss": 1.1929,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.188,
|
| 336 |
+
"grad_norm": 2.3446202278137207,
|
| 337 |
+
"learning_rate": 1.6248e-05,
|
| 338 |
+
"loss": 1.2533,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.192,
|
| 343 |
+
"grad_norm": 2.4274702072143555,
|
| 344 |
+
"learning_rate": 1.6168000000000002e-05,
|
| 345 |
+
"loss": 1.2686,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.196,
|
| 350 |
+
"grad_norm": 2.160151720046997,
|
| 351 |
+
"learning_rate": 1.6088000000000002e-05,
|
| 352 |
+
"loss": 1.2466,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.2,
|
| 357 |
+
"grad_norm": 2.388549327850342,
|
| 358 |
+
"learning_rate": 1.6008e-05,
|
| 359 |
+
"loss": 1.2247,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.204,
|
| 364 |
+
"grad_norm": 3.3736000061035156,
|
| 365 |
+
"learning_rate": 1.5928e-05,
|
| 366 |
+
"loss": 1.2758,
|
| 367 |
+
"step": 510
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.208,
|
| 371 |
+
"grad_norm": 1.8944320678710938,
|
| 372 |
+
"learning_rate": 1.5848e-05,
|
| 373 |
+
"loss": 1.2294,
|
| 374 |
+
"step": 520
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.212,
|
| 378 |
+
"grad_norm": 2.5767781734466553,
|
| 379 |
+
"learning_rate": 1.5768000000000002e-05,
|
| 380 |
+
"loss": 1.3096,
|
| 381 |
+
"step": 530
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.216,
|
| 385 |
+
"grad_norm": 2.6784284114837646,
|
| 386 |
+
"learning_rate": 1.5688e-05,
|
| 387 |
+
"loss": 1.2624,
|
| 388 |
+
"step": 540
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.22,
|
| 392 |
+
"grad_norm": 2.188873052597046,
|
| 393 |
+
"learning_rate": 1.5608e-05,
|
| 394 |
+
"loss": 1.2169,
|
| 395 |
+
"step": 550
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.224,
|
| 399 |
+
"grad_norm": 2.460374593734741,
|
| 400 |
+
"learning_rate": 1.5528e-05,
|
| 401 |
+
"loss": 1.1571,
|
| 402 |
+
"step": 560
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.228,
|
| 406 |
+
"grad_norm": 2.694652795791626,
|
| 407 |
+
"learning_rate": 1.5448000000000002e-05,
|
| 408 |
+
"loss": 1.2368,
|
| 409 |
+
"step": 570
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.232,
|
| 413 |
+
"grad_norm": 2.3777997493743896,
|
| 414 |
+
"learning_rate": 1.5368e-05,
|
| 415 |
+
"loss": 1.2236,
|
| 416 |
+
"step": 580
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.236,
|
| 420 |
+
"grad_norm": 2.4224419593811035,
|
| 421 |
+
"learning_rate": 1.5288e-05,
|
| 422 |
+
"loss": 1.2562,
|
| 423 |
+
"step": 590
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.24,
|
| 427 |
+
"grad_norm": 4.032938480377197,
|
| 428 |
+
"learning_rate": 1.5208e-05,
|
| 429 |
+
"loss": 1.2291,
|
| 430 |
+
"step": 600
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.244,
|
| 434 |
+
"grad_norm": 2.988703966140747,
|
| 435 |
+
"learning_rate": 1.5128e-05,
|
| 436 |
+
"loss": 1.1691,
|
| 437 |
+
"step": 610
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.248,
|
| 441 |
+
"grad_norm": 3.962585687637329,
|
| 442 |
+
"learning_rate": 1.5048e-05,
|
| 443 |
+
"loss": 1.2792,
|
| 444 |
+
"step": 620
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.252,
|
| 448 |
+
"grad_norm": 2.3877758979797363,
|
| 449 |
+
"learning_rate": 1.4968e-05,
|
| 450 |
+
"loss": 1.1589,
|
| 451 |
+
"step": 630
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.256,
|
| 455 |
+
"grad_norm": 2.211920976638794,
|
| 456 |
+
"learning_rate": 1.4888e-05,
|
| 457 |
+
"loss": 1.1132,
|
| 458 |
+
"step": 640
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.26,
|
| 462 |
+
"grad_norm": 2.198737144470215,
|
| 463 |
+
"learning_rate": 1.4808e-05,
|
| 464 |
+
"loss": 1.2004,
|
| 465 |
+
"step": 650
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.264,
|
| 469 |
+
"grad_norm": 2.451795816421509,
|
| 470 |
+
"learning_rate": 1.4728000000000002e-05,
|
| 471 |
+
"loss": 1.1163,
|
| 472 |
+
"step": 660
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.268,
|
| 476 |
+
"grad_norm": 2.8584885597229004,
|
| 477 |
+
"learning_rate": 1.4648000000000003e-05,
|
| 478 |
+
"loss": 1.1064,
|
| 479 |
+
"step": 670
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.272,
|
| 483 |
+
"grad_norm": 3.7197935581207275,
|
| 484 |
+
"learning_rate": 1.4568000000000002e-05,
|
| 485 |
+
"loss": 1.1866,
|
| 486 |
+
"step": 680
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.276,
|
| 490 |
+
"grad_norm": 2.2992563247680664,
|
| 491 |
+
"learning_rate": 1.4488000000000003e-05,
|
| 492 |
+
"loss": 1.1086,
|
| 493 |
+
"step": 690
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.28,
|
| 497 |
+
"grad_norm": 2.9502830505371094,
|
| 498 |
+
"learning_rate": 1.4408000000000002e-05,
|
| 499 |
+
"loss": 1.1798,
|
| 500 |
+
"step": 700
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.284,
|
| 504 |
+
"grad_norm": 2.0384209156036377,
|
| 505 |
+
"learning_rate": 1.4328000000000002e-05,
|
| 506 |
+
"loss": 1.0636,
|
| 507 |
+
"step": 710
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.288,
|
| 511 |
+
"grad_norm": 1.7637971639633179,
|
| 512 |
+
"learning_rate": 1.4248000000000001e-05,
|
| 513 |
+
"loss": 1.1358,
|
| 514 |
+
"step": 720
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.292,
|
| 518 |
+
"grad_norm": 2.0006768703460693,
|
| 519 |
+
"learning_rate": 1.4168000000000002e-05,
|
| 520 |
+
"loss": 1.0458,
|
| 521 |
+
"step": 730
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.296,
|
| 525 |
+
"grad_norm": 2.78169322013855,
|
| 526 |
+
"learning_rate": 1.4088000000000001e-05,
|
| 527 |
+
"loss": 1.1397,
|
| 528 |
+
"step": 740
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.3,
|
| 532 |
+
"grad_norm": 2.5473616123199463,
|
| 533 |
+
"learning_rate": 1.4008000000000002e-05,
|
| 534 |
+
"loss": 1.0934,
|
| 535 |
+
"step": 750
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.304,
|
| 539 |
+
"grad_norm": 2.606701135635376,
|
| 540 |
+
"learning_rate": 1.3928000000000001e-05,
|
| 541 |
+
"loss": 1.0793,
|
| 542 |
+
"step": 760
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.308,
|
| 546 |
+
"grad_norm": 2.461888074874878,
|
| 547 |
+
"learning_rate": 1.3848000000000002e-05,
|
| 548 |
+
"loss": 1.0964,
|
| 549 |
+
"step": 770
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.312,
|
| 553 |
+
"grad_norm": 2.24332857131958,
|
| 554 |
+
"learning_rate": 1.3768000000000001e-05,
|
| 555 |
+
"loss": 1.0943,
|
| 556 |
+
"step": 780
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.316,
|
| 560 |
+
"grad_norm": 2.6332437992095947,
|
| 561 |
+
"learning_rate": 1.3688000000000002e-05,
|
| 562 |
+
"loss": 1.1136,
|
| 563 |
+
"step": 790
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.32,
|
| 567 |
+
"grad_norm": 2.7040021419525146,
|
| 568 |
+
"learning_rate": 1.3608e-05,
|
| 569 |
+
"loss": 1.2109,
|
| 570 |
+
"step": 800
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.324,
|
| 574 |
+
"grad_norm": 3.8601574897766113,
|
| 575 |
+
"learning_rate": 1.3528000000000002e-05,
|
| 576 |
+
"loss": 1.2232,
|
| 577 |
+
"step": 810
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.328,
|
| 581 |
+
"grad_norm": 3.08937668800354,
|
| 582 |
+
"learning_rate": 1.3448e-05,
|
| 583 |
+
"loss": 1.1661,
|
| 584 |
+
"step": 820
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.332,
|
| 588 |
+
"grad_norm": 2.297661066055298,
|
| 589 |
+
"learning_rate": 1.3368000000000001e-05,
|
| 590 |
+
"loss": 0.9877,
|
| 591 |
+
"step": 830
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.336,
|
| 595 |
+
"grad_norm": 2.062130928039551,
|
| 596 |
+
"learning_rate": 1.3288e-05,
|
| 597 |
+
"loss": 0.9535,
|
| 598 |
+
"step": 840
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.34,
|
| 602 |
+
"grad_norm": 2.4786460399627686,
|
| 603 |
+
"learning_rate": 1.3208000000000001e-05,
|
| 604 |
+
"loss": 1.0308,
|
| 605 |
+
"step": 850
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.344,
|
| 609 |
+
"grad_norm": 2.18310809135437,
|
| 610 |
+
"learning_rate": 1.3128e-05,
|
| 611 |
+
"loss": 1.0117,
|
| 612 |
+
"step": 860
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.348,
|
| 616 |
+
"grad_norm": 2.427093029022217,
|
| 617 |
+
"learning_rate": 1.3048000000000001e-05,
|
| 618 |
+
"loss": 1.1716,
|
| 619 |
+
"step": 870
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.352,
|
| 623 |
+
"grad_norm": 2.1192243099212646,
|
| 624 |
+
"learning_rate": 1.2968e-05,
|
| 625 |
+
"loss": 1.1058,
|
| 626 |
+
"step": 880
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.356,
|
| 630 |
+
"grad_norm": 2.2957637310028076,
|
| 631 |
+
"learning_rate": 1.2888000000000001e-05,
|
| 632 |
+
"loss": 0.9935,
|
| 633 |
+
"step": 890
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 0.36,
|
| 637 |
+
"grad_norm": 2.9623489379882812,
|
| 638 |
+
"learning_rate": 1.2808e-05,
|
| 639 |
+
"loss": 0.9785,
|
| 640 |
+
"step": 900
|
| 641 |
+
},
|
| 642 |
+
{
|
| 643 |
+
"epoch": 0.364,
|
| 644 |
+
"grad_norm": 1.9601175785064697,
|
| 645 |
+
"learning_rate": 1.2728e-05,
|
| 646 |
+
"loss": 0.9503,
|
| 647 |
+
"step": 910
|
| 648 |
+
},
|
| 649 |
+
{
|
| 650 |
+
"epoch": 0.368,
|
| 651 |
+
"grad_norm": 2.708333730697632,
|
| 652 |
+
"learning_rate": 1.2648e-05,
|
| 653 |
+
"loss": 0.9301,
|
| 654 |
+
"step": 920
|
| 655 |
+
},
|
| 656 |
+
{
|
| 657 |
+
"epoch": 0.372,
|
| 658 |
+
"grad_norm": 1.687951683998108,
|
| 659 |
+
"learning_rate": 1.2568e-05,
|
| 660 |
+
"loss": 1.044,
|
| 661 |
+
"step": 930
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.376,
|
| 665 |
+
"grad_norm": 2.6426076889038086,
|
| 666 |
+
"learning_rate": 1.2488e-05,
|
| 667 |
+
"loss": 1.0762,
|
| 668 |
+
"step": 940
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 0.38,
|
| 672 |
+
"grad_norm": 2.6836400032043457,
|
| 673 |
+
"learning_rate": 1.2408e-05,
|
| 674 |
+
"loss": 0.9769,
|
| 675 |
+
"step": 950
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 0.384,
|
| 679 |
+
"grad_norm": 2.1915109157562256,
|
| 680 |
+
"learning_rate": 1.2328e-05,
|
| 681 |
+
"loss": 0.9242,
|
| 682 |
+
"step": 960
|
| 683 |
+
},
|
| 684 |
+
{
|
| 685 |
+
"epoch": 0.388,
|
| 686 |
+
"grad_norm": 2.1659505367279053,
|
| 687 |
+
"learning_rate": 1.2248000000000002e-05,
|
| 688 |
+
"loss": 0.9292,
|
| 689 |
+
"step": 970
|
| 690 |
+
},
|
| 691 |
+
{
|
| 692 |
+
"epoch": 0.392,
|
| 693 |
+
"grad_norm": 1.3131425380706787,
|
| 694 |
+
"learning_rate": 1.2168000000000003e-05,
|
| 695 |
+
"loss": 0.9952,
|
| 696 |
+
"step": 980
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 0.396,
|
| 700 |
+
"grad_norm": 1.6859830617904663,
|
| 701 |
+
"learning_rate": 1.2088000000000002e-05,
|
| 702 |
+
"loss": 0.9113,
|
| 703 |
+
"step": 990
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"epoch": 0.4,
|
| 707 |
+
"grad_norm": 2.733213424682617,
|
| 708 |
+
"learning_rate": 1.2008000000000003e-05,
|
| 709 |
+
"loss": 1.0417,
|
| 710 |
+
"step": 1000
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 0.404,
|
| 714 |
+
"grad_norm": 1.8991081714630127,
|
| 715 |
+
"learning_rate": 1.1928000000000002e-05,
|
| 716 |
+
"loss": 1.0169,
|
| 717 |
+
"step": 1010
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 0.408,
|
| 721 |
+
"grad_norm": 2.302356719970703,
|
| 722 |
+
"learning_rate": 1.1848000000000002e-05,
|
| 723 |
+
"loss": 0.976,
|
| 724 |
+
"step": 1020
|
| 725 |
+
},
|
| 726 |
+
{
|
| 727 |
+
"epoch": 0.412,
|
| 728 |
+
"grad_norm": 3.2483420372009277,
|
| 729 |
+
"learning_rate": 1.1768000000000002e-05,
|
| 730 |
+
"loss": 0.9776,
|
| 731 |
+
"step": 1030
|
| 732 |
+
},
|
| 733 |
+
{
|
| 734 |
+
"epoch": 0.416,
|
| 735 |
+
"grad_norm": 2.8546910285949707,
|
| 736 |
+
"learning_rate": 1.1688000000000002e-05,
|
| 737 |
+
"loss": 1.0167,
|
| 738 |
+
"step": 1040
|
| 739 |
+
},
|
| 740 |
+
{
|
| 741 |
+
"epoch": 0.42,
|
| 742 |
+
"grad_norm": 1.6336743831634521,
|
| 743 |
+
"learning_rate": 1.1608000000000001e-05,
|
| 744 |
+
"loss": 0.932,
|
| 745 |
+
"step": 1050
|
| 746 |
+
},
|
| 747 |
+
{
|
| 748 |
+
"epoch": 0.424,
|
| 749 |
+
"grad_norm": 1.7520802021026611,
|
| 750 |
+
"learning_rate": 1.1528000000000002e-05,
|
| 751 |
+
"loss": 0.9445,
|
| 752 |
+
"step": 1060
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 0.428,
|
| 756 |
+
"grad_norm": 1.485300064086914,
|
| 757 |
+
"learning_rate": 1.1448000000000001e-05,
|
| 758 |
+
"loss": 0.8426,
|
| 759 |
+
"step": 1070
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 0.432,
|
| 763 |
+
"grad_norm": 2.4218764305114746,
|
| 764 |
+
"learning_rate": 1.1368000000000002e-05,
|
| 765 |
+
"loss": 0.8435,
|
| 766 |
+
"step": 1080
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.436,
|
| 770 |
+
"grad_norm": 2.309624195098877,
|
| 771 |
+
"learning_rate": 1.1288000000000001e-05,
|
| 772 |
+
"loss": 1.0399,
|
| 773 |
+
"step": 1090
|
| 774 |
+
},
|
| 775 |
+
{
|
| 776 |
+
"epoch": 0.44,
|
| 777 |
+
"grad_norm": 2.342698812484741,
|
| 778 |
+
"learning_rate": 1.1208000000000002e-05,
|
| 779 |
+
"loss": 0.976,
|
| 780 |
+
"step": 1100
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 0.444,
|
| 784 |
+
"grad_norm": 3.409608840942383,
|
| 785 |
+
"learning_rate": 1.1128000000000001e-05,
|
| 786 |
+
"loss": 0.9518,
|
| 787 |
+
"step": 1110
|
| 788 |
+
},
|
| 789 |
+
{
|
| 790 |
+
"epoch": 0.448,
|
| 791 |
+
"grad_norm": 2.1572208404541016,
|
| 792 |
+
"learning_rate": 1.1048000000000002e-05,
|
| 793 |
+
"loss": 0.8887,
|
| 794 |
+
"step": 1120
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 0.452,
|
| 798 |
+
"grad_norm": 1.6231638193130493,
|
| 799 |
+
"learning_rate": 1.0968e-05,
|
| 800 |
+
"loss": 0.9394,
|
| 801 |
+
"step": 1130
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 0.456,
|
| 805 |
+
"grad_norm": 2.244163990020752,
|
| 806 |
+
"learning_rate": 1.0888000000000001e-05,
|
| 807 |
+
"loss": 0.8558,
|
| 808 |
+
"step": 1140
|
| 809 |
+
},
|
| 810 |
+
{
|
| 811 |
+
"epoch": 0.46,
|
| 812 |
+
"grad_norm": 1.8961011171340942,
|
| 813 |
+
"learning_rate": 1.0808e-05,
|
| 814 |
+
"loss": 0.8702,
|
| 815 |
+
"step": 1150
|
| 816 |
+
},
|
| 817 |
+
{
|
| 818 |
+
"epoch": 0.464,
|
| 819 |
+
"grad_norm": 2.714932918548584,
|
| 820 |
+
"learning_rate": 1.0728000000000001e-05,
|
| 821 |
+
"loss": 0.925,
|
| 822 |
+
"step": 1160
|
| 823 |
+
},
|
| 824 |
+
{
|
| 825 |
+
"epoch": 0.468,
|
| 826 |
+
"grad_norm": 2.4342856407165527,
|
| 827 |
+
"learning_rate": 1.0648e-05,
|
| 828 |
+
"loss": 0.9112,
|
| 829 |
+
"step": 1170
|
| 830 |
+
},
|
| 831 |
+
{
|
| 832 |
+
"epoch": 0.472,
|
| 833 |
+
"grad_norm": 2.8005857467651367,
|
| 834 |
+
"learning_rate": 1.0568000000000001e-05,
|
| 835 |
+
"loss": 0.9538,
|
| 836 |
+
"step": 1180
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 0.476,
|
| 840 |
+
"grad_norm": 2.0518391132354736,
|
| 841 |
+
"learning_rate": 1.0488e-05,
|
| 842 |
+
"loss": 0.9468,
|
| 843 |
+
"step": 1190
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 0.48,
|
| 847 |
+
"grad_norm": 2.055837392807007,
|
| 848 |
+
"learning_rate": 1.0408000000000001e-05,
|
| 849 |
+
"loss": 0.9461,
|
| 850 |
+
"step": 1200
|
| 851 |
+
},
|
| 852 |
+
{
|
| 853 |
+
"epoch": 0.484,
|
| 854 |
+
"grad_norm": 2.783745527267456,
|
| 855 |
+
"learning_rate": 1.0328e-05,
|
| 856 |
+
"loss": 0.9171,
|
| 857 |
+
"step": 1210
|
| 858 |
+
},
|
| 859 |
+
{
|
| 860 |
+
"epoch": 0.488,
|
| 861 |
+
"grad_norm": 2.9242422580718994,
|
| 862 |
+
"learning_rate": 1.0248e-05,
|
| 863 |
+
"loss": 0.8805,
|
| 864 |
+
"step": 1220
|
| 865 |
+
},
|
| 866 |
+
{
|
| 867 |
+
"epoch": 0.492,
|
| 868 |
+
"grad_norm": 2.0500447750091553,
|
| 869 |
+
"learning_rate": 1.0168e-05,
|
| 870 |
+
"loss": 0.9339,
|
| 871 |
+
"step": 1230
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.496,
|
| 875 |
+
"grad_norm": 5.169466495513916,
|
| 876 |
+
"learning_rate": 1.0088e-05,
|
| 877 |
+
"loss": 0.9204,
|
| 878 |
+
"step": 1240
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 0.5,
|
| 882 |
+
"grad_norm": 2.055866003036499,
|
| 883 |
+
"learning_rate": 1.0008e-05,
|
| 884 |
+
"loss": 0.8512,
|
| 885 |
+
"step": 1250
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 0.504,
|
| 889 |
+
"grad_norm": 2.6294054985046387,
|
| 890 |
+
"learning_rate": 9.928e-06,
|
| 891 |
+
"loss": 0.8987,
|
| 892 |
+
"step": 1260
|
| 893 |
+
},
|
| 894 |
+
{
|
| 895 |
+
"epoch": 0.508,
|
| 896 |
+
"grad_norm": 2.4524762630462646,
|
| 897 |
+
"learning_rate": 9.848000000000001e-06,
|
| 898 |
+
"loss": 0.8888,
|
| 899 |
+
"step": 1270
|
| 900 |
+
},
|
| 901 |
+
{
|
| 902 |
+
"epoch": 0.512,
|
| 903 |
+
"grad_norm": 2.122523784637451,
|
| 904 |
+
"learning_rate": 9.768e-06,
|
| 905 |
+
"loss": 0.9447,
|
| 906 |
+
"step": 1280
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 0.516,
|
| 910 |
+
"grad_norm": 2.1826155185699463,
|
| 911 |
+
"learning_rate": 9.688000000000001e-06,
|
| 912 |
+
"loss": 0.9058,
|
| 913 |
+
"step": 1290
|
| 914 |
+
},
|
| 915 |
+
{
|
| 916 |
+
"epoch": 0.52,
|
| 917 |
+
"grad_norm": 2.5300002098083496,
|
| 918 |
+
"learning_rate": 9.608e-06,
|
| 919 |
+
"loss": 0.9846,
|
| 920 |
+
"step": 1300
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 0.524,
|
| 924 |
+
"grad_norm": 2.9742186069488525,
|
| 925 |
+
"learning_rate": 9.528000000000001e-06,
|
| 926 |
+
"loss": 0.8508,
|
| 927 |
+
"step": 1310
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 0.528,
|
| 931 |
+
"grad_norm": 2.04305100440979,
|
| 932 |
+
"learning_rate": 9.448e-06,
|
| 933 |
+
"loss": 0.8024,
|
| 934 |
+
"step": 1320
|
| 935 |
+
},
|
| 936 |
+
{
|
| 937 |
+
"epoch": 0.532,
|
| 938 |
+
"grad_norm": 3.284501314163208,
|
| 939 |
+
"learning_rate": 9.368e-06,
|
| 940 |
+
"loss": 0.8675,
|
| 941 |
+
"step": 1330
|
| 942 |
+
},
|
| 943 |
+
{
|
| 944 |
+
"epoch": 0.536,
|
| 945 |
+
"grad_norm": 2.4430627822875977,
|
| 946 |
+
"learning_rate": 9.288e-06,
|
| 947 |
+
"loss": 0.9219,
|
| 948 |
+
"step": 1340
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 0.54,
|
| 952 |
+
"grad_norm": 3.3678085803985596,
|
| 953 |
+
"learning_rate": 9.208e-06,
|
| 954 |
+
"loss": 0.8197,
|
| 955 |
+
"step": 1350
|
| 956 |
+
},
|
| 957 |
+
{
|
| 958 |
+
"epoch": 0.544,
|
| 959 |
+
"grad_norm": 2.4278366565704346,
|
| 960 |
+
"learning_rate": 9.128e-06,
|
| 961 |
+
"loss": 0.8925,
|
| 962 |
+
"step": 1360
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 0.548,
|
| 966 |
+
"grad_norm": 1.850438117980957,
|
| 967 |
+
"learning_rate": 9.048e-06,
|
| 968 |
+
"loss": 0.8104,
|
| 969 |
+
"step": 1370
|
| 970 |
+
},
|
| 971 |
+
{
|
| 972 |
+
"epoch": 0.552,
|
| 973 |
+
"grad_norm": 2.19571852684021,
|
| 974 |
+
"learning_rate": 8.968000000000001e-06,
|
| 975 |
+
"loss": 0.7943,
|
| 976 |
+
"step": 1380
|
| 977 |
+
},
|
| 978 |
+
{
|
| 979 |
+
"epoch": 0.556,
|
| 980 |
+
"grad_norm": 2.3027920722961426,
|
| 981 |
+
"learning_rate": 8.888e-06,
|
| 982 |
+
"loss": 0.8311,
|
| 983 |
+
"step": 1390
|
| 984 |
+
},
|
| 985 |
+
{
|
| 986 |
+
"epoch": 0.56,
|
| 987 |
+
"grad_norm": 2.2954397201538086,
|
| 988 |
+
"learning_rate": 8.808000000000001e-06,
|
| 989 |
+
"loss": 0.9068,
|
| 990 |
+
"step": 1400
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 0.564,
|
| 994 |
+
"grad_norm": 1.897251009941101,
|
| 995 |
+
"learning_rate": 8.728e-06,
|
| 996 |
+
"loss": 0.8213,
|
| 997 |
+
"step": 1410
|
| 998 |
+
},
|
| 999 |
+
{
|
| 1000 |
+
"epoch": 0.568,
|
| 1001 |
+
"grad_norm": 3.836338520050049,
|
| 1002 |
+
"learning_rate": 8.648000000000001e-06,
|
| 1003 |
+
"loss": 0.8516,
|
| 1004 |
+
"step": 1420
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 0.572,
|
| 1008 |
+
"grad_norm": 3.1619820594787598,
|
| 1009 |
+
"learning_rate": 8.568e-06,
|
| 1010 |
+
"loss": 0.9575,
|
| 1011 |
+
"step": 1430
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 0.576,
|
| 1015 |
+
"grad_norm": 2.0836496353149414,
|
| 1016 |
+
"learning_rate": 8.488e-06,
|
| 1017 |
+
"loss": 0.8856,
|
| 1018 |
+
"step": 1440
|
| 1019 |
+
},
|
| 1020 |
+
{
|
| 1021 |
+
"epoch": 0.58,
|
| 1022 |
+
"grad_norm": 3.4184463024139404,
|
| 1023 |
+
"learning_rate": 8.408e-06,
|
| 1024 |
+
"loss": 0.689,
|
| 1025 |
+
"step": 1450
|
| 1026 |
+
},
|
| 1027 |
+
{
|
| 1028 |
+
"epoch": 0.584,
|
| 1029 |
+
"grad_norm": 2.6366779804229736,
|
| 1030 |
+
"learning_rate": 8.328e-06,
|
| 1031 |
+
"loss": 0.8382,
|
| 1032 |
+
"step": 1460
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 0.588,
|
| 1036 |
+
"grad_norm": 2.03658390045166,
|
| 1037 |
+
"learning_rate": 8.248e-06,
|
| 1038 |
+
"loss": 0.8093,
|
| 1039 |
+
"step": 1470
|
| 1040 |
+
},
|
| 1041 |
+
{
|
| 1042 |
+
"epoch": 0.592,
|
| 1043 |
+
"grad_norm": 2.4847910404205322,
|
| 1044 |
+
"learning_rate": 8.168e-06,
|
| 1045 |
+
"loss": 0.7996,
|
| 1046 |
+
"step": 1480
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 0.596,
|
| 1050 |
+
"grad_norm": 2.1482226848602295,
|
| 1051 |
+
"learning_rate": 8.088e-06,
|
| 1052 |
+
"loss": 0.8246,
|
| 1053 |
+
"step": 1490
|
| 1054 |
+
},
|
| 1055 |
+
{
|
| 1056 |
+
"epoch": 0.6,
|
| 1057 |
+
"grad_norm": 2.0978434085845947,
|
| 1058 |
+
"learning_rate": 8.008e-06,
|
| 1059 |
+
"loss": 0.7359,
|
| 1060 |
+
"step": 1500
|
| 1061 |
+
},
|
| 1062 |
+
{
|
| 1063 |
+
"epoch": 0.604,
|
| 1064 |
+
"grad_norm": 4.422749996185303,
|
| 1065 |
+
"learning_rate": 7.928e-06,
|
| 1066 |
+
"loss": 0.7479,
|
| 1067 |
+
"step": 1510
|
| 1068 |
+
},
|
| 1069 |
+
{
|
| 1070 |
+
"epoch": 0.608,
|
| 1071 |
+
"grad_norm": 2.035379409790039,
|
| 1072 |
+
"learning_rate": 7.848000000000002e-06,
|
| 1073 |
+
"loss": 0.9107,
|
| 1074 |
+
"step": 1520
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 0.612,
|
| 1078 |
+
"grad_norm": 3.720285415649414,
|
| 1079 |
+
"learning_rate": 7.768e-06,
|
| 1080 |
+
"loss": 0.7922,
|
| 1081 |
+
"step": 1530
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.616,
|
| 1085 |
+
"grad_norm": 3.993703842163086,
|
| 1086 |
+
"learning_rate": 7.688000000000002e-06,
|
| 1087 |
+
"loss": 0.8273,
|
| 1088 |
+
"step": 1540
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 0.62,
|
| 1092 |
+
"grad_norm": 2.976177930831909,
|
| 1093 |
+
"learning_rate": 7.608000000000001e-06,
|
| 1094 |
+
"loss": 0.7356,
|
| 1095 |
+
"step": 1550
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 0.624,
|
| 1099 |
+
"grad_norm": 2.1457252502441406,
|
| 1100 |
+
"learning_rate": 7.528000000000001e-06,
|
| 1101 |
+
"loss": 0.7757,
|
| 1102 |
+
"step": 1560
|
| 1103 |
+
},
|
| 1104 |
+
{
|
| 1105 |
+
"epoch": 0.628,
|
| 1106 |
+
"grad_norm": 3.819840908050537,
|
| 1107 |
+
"learning_rate": 7.4480000000000005e-06,
|
| 1108 |
+
"loss": 0.8886,
|
| 1109 |
+
"step": 1570
|
| 1110 |
+
},
|
| 1111 |
+
{
|
| 1112 |
+
"epoch": 0.632,
|
| 1113 |
+
"grad_norm": 4.748547554016113,
|
| 1114 |
+
"learning_rate": 7.3680000000000004e-06,
|
| 1115 |
+
"loss": 0.8789,
|
| 1116 |
+
"step": 1580
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 0.636,
|
| 1120 |
+
"grad_norm": 2.702115058898926,
|
| 1121 |
+
"learning_rate": 7.288e-06,
|
| 1122 |
+
"loss": 0.9161,
|
| 1123 |
+
"step": 1590
|
| 1124 |
+
},
|
| 1125 |
+
{
|
| 1126 |
+
"epoch": 0.64,
|
| 1127 |
+
"grad_norm": 4.047061443328857,
|
| 1128 |
+
"learning_rate": 7.208e-06,
|
| 1129 |
+
"loss": 0.9155,
|
| 1130 |
+
"step": 1600
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 0.644,
|
| 1134 |
+
"grad_norm": 2.9659008979797363,
|
| 1135 |
+
"learning_rate": 7.128e-06,
|
| 1136 |
+
"loss": 0.8114,
|
| 1137 |
+
"step": 1610
|
| 1138 |
+
},
|
| 1139 |
+
{
|
| 1140 |
+
"epoch": 0.648,
|
| 1141 |
+
"grad_norm": 3.6247856616973877,
|
| 1142 |
+
"learning_rate": 7.048e-06,
|
| 1143 |
+
"loss": 0.7938,
|
| 1144 |
+
"step": 1620
|
| 1145 |
+
},
|
| 1146 |
+
{
|
| 1147 |
+
"epoch": 0.652,
|
| 1148 |
+
"grad_norm": 3.002122402191162,
|
| 1149 |
+
"learning_rate": 6.968e-06,
|
| 1150 |
+
"loss": 0.8127,
|
| 1151 |
+
"step": 1630
|
| 1152 |
+
},
|
| 1153 |
+
{
|
| 1154 |
+
"epoch": 0.656,
|
| 1155 |
+
"grad_norm": 2.6267194747924805,
|
| 1156 |
+
"learning_rate": 6.888e-06,
|
| 1157 |
+
"loss": 0.8381,
|
| 1158 |
+
"step": 1640
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 0.66,
|
| 1162 |
+
"grad_norm": 3.199043035507202,
|
| 1163 |
+
"learning_rate": 6.808e-06,
|
| 1164 |
+
"loss": 0.8507,
|
| 1165 |
+
"step": 1650
|
| 1166 |
+
},
|
| 1167 |
+
{
|
| 1168 |
+
"epoch": 0.664,
|
| 1169 |
+
"grad_norm": 3.576150417327881,
|
| 1170 |
+
"learning_rate": 6.728e-06,
|
| 1171 |
+
"loss": 0.731,
|
| 1172 |
+
"step": 1660
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 0.668,
|
| 1176 |
+
"grad_norm": 3.59387469291687,
|
| 1177 |
+
"learning_rate": 6.648e-06,
|
| 1178 |
+
"loss": 0.9536,
|
| 1179 |
+
"step": 1670
|
| 1180 |
+
},
|
| 1181 |
+
{
|
| 1182 |
+
"epoch": 0.672,
|
| 1183 |
+
"grad_norm": 1.788014531135559,
|
| 1184 |
+
"learning_rate": 6.568000000000001e-06,
|
| 1185 |
+
"loss": 0.8538,
|
| 1186 |
+
"step": 1680
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 0.676,
|
| 1190 |
+
"grad_norm": 2.6225569248199463,
|
| 1191 |
+
"learning_rate": 6.488000000000001e-06,
|
| 1192 |
+
"loss": 0.8049,
|
| 1193 |
+
"step": 1690
|
| 1194 |
+
},
|
| 1195 |
+
{
|
| 1196 |
+
"epoch": 0.68,
|
| 1197 |
+
"grad_norm": 3.2675693035125732,
|
| 1198 |
+
"learning_rate": 6.408000000000001e-06,
|
| 1199 |
+
"loss": 0.8805,
|
| 1200 |
+
"step": 1700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 0.684,
|
| 1204 |
+
"grad_norm": 2.034709930419922,
|
| 1205 |
+
"learning_rate": 6.328000000000001e-06,
|
| 1206 |
+
"loss": 0.7499,
|
| 1207 |
+
"step": 1710
|
| 1208 |
+
},
|
| 1209 |
+
{
|
| 1210 |
+
"epoch": 0.688,
|
| 1211 |
+
"grad_norm": 1.8868328332901,
|
| 1212 |
+
"learning_rate": 6.248000000000001e-06,
|
| 1213 |
+
"loss": 0.8066,
|
| 1214 |
+
"step": 1720
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 0.692,
|
| 1218 |
+
"grad_norm": 5.277392864227295,
|
| 1219 |
+
"learning_rate": 6.168000000000001e-06,
|
| 1220 |
+
"loss": 0.7236,
|
| 1221 |
+
"step": 1730
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 0.696,
|
| 1225 |
+
"grad_norm": 3.48518443107605,
|
| 1226 |
+
"learning_rate": 6.088000000000001e-06,
|
| 1227 |
+
"loss": 0.8388,
|
| 1228 |
+
"step": 1740
|
| 1229 |
+
},
|
| 1230 |
+
{
|
| 1231 |
+
"epoch": 0.7,
|
| 1232 |
+
"grad_norm": 2.2365574836730957,
|
| 1233 |
+
"learning_rate": 6.008000000000001e-06,
|
| 1234 |
+
"loss": 0.7064,
|
| 1235 |
+
"step": 1750
|
| 1236 |
+
},
|
| 1237 |
+
{
|
| 1238 |
+
"epoch": 0.704,
|
| 1239 |
+
"grad_norm": 2.5346803665161133,
|
| 1240 |
+
"learning_rate": 5.928000000000001e-06,
|
| 1241 |
+
"loss": 0.7754,
|
| 1242 |
+
"step": 1760
|
| 1243 |
+
},
|
| 1244 |
+
{
|
| 1245 |
+
"epoch": 0.708,
|
| 1246 |
+
"grad_norm": 3.9243640899658203,
|
| 1247 |
+
"learning_rate": 5.848000000000001e-06,
|
| 1248 |
+
"loss": 0.85,
|
| 1249 |
+
"step": 1770
|
| 1250 |
+
},
|
| 1251 |
+
{
|
| 1252 |
+
"epoch": 0.712,
|
| 1253 |
+
"grad_norm": 2.9606575965881348,
|
| 1254 |
+
"learning_rate": 5.7680000000000005e-06,
|
| 1255 |
+
"loss": 0.724,
|
| 1256 |
+
"step": 1780
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 0.716,
|
| 1260 |
+
"grad_norm": 6.477645397186279,
|
| 1261 |
+
"learning_rate": 5.6880000000000004e-06,
|
| 1262 |
+
"loss": 0.7925,
|
| 1263 |
+
"step": 1790
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 0.72,
|
| 1267 |
+
"grad_norm": 3.563234329223633,
|
| 1268 |
+
"learning_rate": 5.608e-06,
|
| 1269 |
+
"loss": 0.7662,
|
| 1270 |
+
"step": 1800
|
| 1271 |
+
},
|
| 1272 |
+
{
|
| 1273 |
+
"epoch": 0.724,
|
| 1274 |
+
"grad_norm": 4.008406639099121,
|
| 1275 |
+
"learning_rate": 5.528e-06,
|
| 1276 |
+
"loss": 0.9116,
|
| 1277 |
+
"step": 1810
|
| 1278 |
+
},
|
| 1279 |
+
{
|
| 1280 |
+
"epoch": 0.728,
|
| 1281 |
+
"grad_norm": 2.8766539096832275,
|
| 1282 |
+
"learning_rate": 5.448e-06,
|
| 1283 |
+
"loss": 0.8675,
|
| 1284 |
+
"step": 1820
|
| 1285 |
+
},
|
| 1286 |
+
{
|
| 1287 |
+
"epoch": 0.732,
|
| 1288 |
+
"grad_norm": 3.101940155029297,
|
| 1289 |
+
"learning_rate": 5.368000000000001e-06,
|
| 1290 |
+
"loss": 0.8026,
|
| 1291 |
+
"step": 1830
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 0.736,
|
| 1295 |
+
"grad_norm": 2.1584157943725586,
|
| 1296 |
+
"learning_rate": 5.288000000000001e-06,
|
| 1297 |
+
"loss": 0.7255,
|
| 1298 |
+
"step": 1840
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 0.74,
|
| 1302 |
+
"grad_norm": 2.157031774520874,
|
| 1303 |
+
"learning_rate": 5.208000000000001e-06,
|
| 1304 |
+
"loss": 0.7803,
|
| 1305 |
+
"step": 1850
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 0.744,
|
| 1309 |
+
"grad_norm": 4.665865898132324,
|
| 1310 |
+
"learning_rate": 5.128000000000001e-06,
|
| 1311 |
+
"loss": 0.8971,
|
| 1312 |
+
"step": 1860
|
| 1313 |
+
},
|
| 1314 |
+
{
|
| 1315 |
+
"epoch": 0.748,
|
| 1316 |
+
"grad_norm": 4.0717244148254395,
|
| 1317 |
+
"learning_rate": 5.048000000000001e-06,
|
| 1318 |
+
"loss": 0.8332,
|
| 1319 |
+
"step": 1870
|
| 1320 |
+
},
|
| 1321 |
+
{
|
| 1322 |
+
"epoch": 0.752,
|
| 1323 |
+
"grad_norm": 3.106688976287842,
|
| 1324 |
+
"learning_rate": 4.9680000000000005e-06,
|
| 1325 |
+
"loss": 0.743,
|
| 1326 |
+
"step": 1880
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 0.756,
|
| 1330 |
+
"grad_norm": 3.3465564250946045,
|
| 1331 |
+
"learning_rate": 4.8880000000000005e-06,
|
| 1332 |
+
"loss": 0.8192,
|
| 1333 |
+
"step": 1890
|
| 1334 |
+
},
|
| 1335 |
+
{
|
| 1336 |
+
"epoch": 0.76,
|
| 1337 |
+
"grad_norm": 3.8297150135040283,
|
| 1338 |
+
"learning_rate": 4.808e-06,
|
| 1339 |
+
"loss": 0.748,
|
| 1340 |
+
"step": 1900
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 0.764,
|
| 1344 |
+
"grad_norm": 4.068183898925781,
|
| 1345 |
+
"learning_rate": 4.728e-06,
|
| 1346 |
+
"loss": 0.8454,
|
| 1347 |
+
"step": 1910
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 0.768,
|
| 1351 |
+
"grad_norm": 3.2511086463928223,
|
| 1352 |
+
"learning_rate": 4.648e-06,
|
| 1353 |
+
"loss": 0.7184,
|
| 1354 |
+
"step": 1920
|
| 1355 |
+
},
|
| 1356 |
+
{
|
| 1357 |
+
"epoch": 0.772,
|
| 1358 |
+
"grad_norm": 2.2039601802825928,
|
| 1359 |
+
"learning_rate": 4.568e-06,
|
| 1360 |
+
"loss": 0.6962,
|
| 1361 |
+
"step": 1930
|
| 1362 |
+
},
|
| 1363 |
+
{
|
| 1364 |
+
"epoch": 0.776,
|
| 1365 |
+
"grad_norm": 2.8335773944854736,
|
| 1366 |
+
"learning_rate": 4.488e-06,
|
| 1367 |
+
"loss": 0.7419,
|
| 1368 |
+
"step": 1940
|
| 1369 |
+
},
|
| 1370 |
+
{
|
| 1371 |
+
"epoch": 0.78,
|
| 1372 |
+
"grad_norm": 3.4596734046936035,
|
| 1373 |
+
"learning_rate": 4.408000000000001e-06,
|
| 1374 |
+
"loss": 0.7337,
|
| 1375 |
+
"step": 1950
|
| 1376 |
+
},
|
| 1377 |
+
{
|
| 1378 |
+
"epoch": 0.784,
|
| 1379 |
+
"grad_norm": 3.2034690380096436,
|
| 1380 |
+
"learning_rate": 4.328000000000001e-06,
|
| 1381 |
+
"loss": 0.8237,
|
| 1382 |
+
"step": 1960
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 0.788,
|
| 1386 |
+
"grad_norm": 2.5316877365112305,
|
| 1387 |
+
"learning_rate": 4.248000000000001e-06,
|
| 1388 |
+
"loss": 0.7452,
|
| 1389 |
+
"step": 1970
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 0.792,
|
| 1393 |
+
"grad_norm": 3.9065985679626465,
|
| 1394 |
+
"learning_rate": 4.168000000000001e-06,
|
| 1395 |
+
"loss": 0.7351,
|
| 1396 |
+
"step": 1980
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 0.796,
|
| 1400 |
+
"grad_norm": 3.2880232334136963,
|
| 1401 |
+
"learning_rate": 4.0880000000000005e-06,
|
| 1402 |
+
"loss": 0.6624,
|
| 1403 |
+
"step": 1990
|
| 1404 |
+
},
|
| 1405 |
+
{
|
| 1406 |
+
"epoch": 0.8,
|
| 1407 |
+
"grad_norm": 2.6434664726257324,
|
| 1408 |
+
"learning_rate": 4.008e-06,
|
| 1409 |
+
"loss": 0.6929,
|
| 1410 |
+
"step": 2000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 0.804,
|
| 1414 |
+
"grad_norm": 2.8303961753845215,
|
| 1415 |
+
"learning_rate": 3.928e-06,
|
| 1416 |
+
"loss": 0.7728,
|
| 1417 |
+
"step": 2010
|
| 1418 |
+
},
|
| 1419 |
+
{
|
| 1420 |
+
"epoch": 0.808,
|
| 1421 |
+
"grad_norm": 3.5802438259124756,
|
| 1422 |
+
"learning_rate": 3.848e-06,
|
| 1423 |
+
"loss": 0.7584,
|
| 1424 |
+
"step": 2020
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 0.812,
|
| 1428 |
+
"grad_norm": 5.526547431945801,
|
| 1429 |
+
"learning_rate": 3.7680000000000006e-06,
|
| 1430 |
+
"loss": 0.7928,
|
| 1431 |
+
"step": 2030
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 0.816,
|
| 1435 |
+
"grad_norm": 2.7042505741119385,
|
| 1436 |
+
"learning_rate": 3.6880000000000005e-06,
|
| 1437 |
+
"loss": 0.6035,
|
| 1438 |
+
"step": 2040
|
| 1439 |
+
},
|
| 1440 |
+
{
|
| 1441 |
+
"epoch": 0.82,
|
| 1442 |
+
"grad_norm": 3.579296112060547,
|
| 1443 |
+
"learning_rate": 3.6080000000000004e-06,
|
| 1444 |
+
"loss": 0.7391,
|
| 1445 |
+
"step": 2050
|
| 1446 |
+
},
|
| 1447 |
+
{
|
| 1448 |
+
"epoch": 0.824,
|
| 1449 |
+
"grad_norm": 2.9411709308624268,
|
| 1450 |
+
"learning_rate": 3.5280000000000004e-06,
|
| 1451 |
+
"loss": 0.7278,
|
| 1452 |
+
"step": 2060
|
| 1453 |
+
},
|
| 1454 |
+
{
|
| 1455 |
+
"epoch": 0.828,
|
| 1456 |
+
"grad_norm": 3.7891061305999756,
|
| 1457 |
+
"learning_rate": 3.4480000000000003e-06,
|
| 1458 |
+
"loss": 0.7715,
|
| 1459 |
+
"step": 2070
|
| 1460 |
+
},
|
| 1461 |
+
{
|
| 1462 |
+
"epoch": 0.832,
|
| 1463 |
+
"grad_norm": 3.165001630783081,
|
| 1464 |
+
"learning_rate": 3.368e-06,
|
| 1465 |
+
"loss": 0.7535,
|
| 1466 |
+
"step": 2080
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 0.836,
|
| 1470 |
+
"grad_norm": 2.631362199783325,
|
| 1471 |
+
"learning_rate": 3.288e-06,
|
| 1472 |
+
"loss": 0.7649,
|
| 1473 |
+
"step": 2090
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 0.84,
|
| 1477 |
+
"grad_norm": 8.075745582580566,
|
| 1478 |
+
"learning_rate": 3.208e-06,
|
| 1479 |
+
"loss": 0.7965,
|
| 1480 |
+
"step": 2100
|
| 1481 |
+
},
|
| 1482 |
+
{
|
| 1483 |
+
"epoch": 0.844,
|
| 1484 |
+
"grad_norm": 2.704510450363159,
|
| 1485 |
+
"learning_rate": 3.1280000000000004e-06,
|
| 1486 |
+
"loss": 0.7002,
|
| 1487 |
+
"step": 2110
|
| 1488 |
+
},
|
| 1489 |
+
{
|
| 1490 |
+
"epoch": 0.848,
|
| 1491 |
+
"grad_norm": 3.558990478515625,
|
| 1492 |
+
"learning_rate": 3.0480000000000003e-06,
|
| 1493 |
+
"loss": 0.7918,
|
| 1494 |
+
"step": 2120
|
| 1495 |
+
},
|
| 1496 |
+
{
|
| 1497 |
+
"epoch": 0.852,
|
| 1498 |
+
"grad_norm": 3.2328171730041504,
|
| 1499 |
+
"learning_rate": 2.9680000000000002e-06,
|
| 1500 |
+
"loss": 0.6342,
|
| 1501 |
+
"step": 2130
|
| 1502 |
+
},
|
| 1503 |
+
{
|
| 1504 |
+
"epoch": 0.856,
|
| 1505 |
+
"grad_norm": 4.635783672332764,
|
| 1506 |
+
"learning_rate": 2.888e-06,
|
| 1507 |
+
"loss": 0.7259,
|
| 1508 |
+
"step": 2140
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 0.86,
|
| 1512 |
+
"grad_norm": 6.2160234451293945,
|
| 1513 |
+
"learning_rate": 2.808e-06,
|
| 1514 |
+
"loss": 0.746,
|
| 1515 |
+
"step": 2150
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 0.864,
|
| 1519 |
+
"grad_norm": 2.262748956680298,
|
| 1520 |
+
"learning_rate": 2.728e-06,
|
| 1521 |
+
"loss": 0.7318,
|
| 1522 |
+
"step": 2160
|
| 1523 |
+
},
|
| 1524 |
+
{
|
| 1525 |
+
"epoch": 0.868,
|
| 1526 |
+
"grad_norm": 2.518980026245117,
|
| 1527 |
+
"learning_rate": 2.648e-06,
|
| 1528 |
+
"loss": 0.7428,
|
| 1529 |
+
"step": 2170
|
| 1530 |
+
},
|
| 1531 |
+
{
|
| 1532 |
+
"epoch": 0.872,
|
| 1533 |
+
"grad_norm": 4.256569862365723,
|
| 1534 |
+
"learning_rate": 2.568e-06,
|
| 1535 |
+
"loss": 0.6773,
|
| 1536 |
+
"step": 2180
|
| 1537 |
+
},
|
| 1538 |
+
{
|
| 1539 |
+
"epoch": 0.876,
|
| 1540 |
+
"grad_norm": 4.446414470672607,
|
| 1541 |
+
"learning_rate": 2.488e-06,
|
| 1542 |
+
"loss": 0.8276,
|
| 1543 |
+
"step": 2190
|
| 1544 |
+
},
|
| 1545 |
+
{
|
| 1546 |
+
"epoch": 0.88,
|
| 1547 |
+
"grad_norm": 4.081722736358643,
|
| 1548 |
+
"learning_rate": 2.408e-06,
|
| 1549 |
+
"loss": 0.6634,
|
| 1550 |
+
"step": 2200
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 0.884,
|
| 1554 |
+
"grad_norm": 3.0264625549316406,
|
| 1555 |
+
"learning_rate": 2.3280000000000004e-06,
|
| 1556 |
+
"loss": 0.6893,
|
| 1557 |
+
"step": 2210
|
| 1558 |
+
},
|
| 1559 |
+
{
|
| 1560 |
+
"epoch": 0.888,
|
| 1561 |
+
"grad_norm": 2.5336077213287354,
|
| 1562 |
+
"learning_rate": 2.2480000000000003e-06,
|
| 1563 |
+
"loss": 0.7381,
|
| 1564 |
+
"step": 2220
|
| 1565 |
+
},
|
| 1566 |
+
{
|
| 1567 |
+
"epoch": 0.892,
|
| 1568 |
+
"grad_norm": 2.8016293048858643,
|
| 1569 |
+
"learning_rate": 2.1680000000000002e-06,
|
| 1570 |
+
"loss": 0.7699,
|
| 1571 |
+
"step": 2230
|
| 1572 |
+
},
|
| 1573 |
+
{
|
| 1574 |
+
"epoch": 0.896,
|
| 1575 |
+
"grad_norm": 4.106541156768799,
|
| 1576 |
+
"learning_rate": 2.088e-06,
|
| 1577 |
+
"loss": 0.7099,
|
| 1578 |
+
"step": 2240
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 0.9,
|
| 1582 |
+
"grad_norm": 2.492737054824829,
|
| 1583 |
+
"learning_rate": 2.008e-06,
|
| 1584 |
+
"loss": 0.7294,
|
| 1585 |
+
"step": 2250
|
| 1586 |
+
},
|
| 1587 |
+
{
|
| 1588 |
+
"epoch": 0.904,
|
| 1589 |
+
"grad_norm": 2.4935927391052246,
|
| 1590 |
+
"learning_rate": 1.928e-06,
|
| 1591 |
+
"loss": 0.7498,
|
| 1592 |
+
"step": 2260
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 0.908,
|
| 1596 |
+
"grad_norm": 3.0411596298217773,
|
| 1597 |
+
"learning_rate": 1.8480000000000001e-06,
|
| 1598 |
+
"loss": 0.755,
|
| 1599 |
+
"step": 2270
|
| 1600 |
+
},
|
| 1601 |
+
{
|
| 1602 |
+
"epoch": 0.912,
|
| 1603 |
+
"grad_norm": 3.7122206687927246,
|
| 1604 |
+
"learning_rate": 1.7680000000000003e-06,
|
| 1605 |
+
"loss": 0.7554,
|
| 1606 |
+
"step": 2280
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 0.916,
|
| 1610 |
+
"grad_norm": 2.088099718093872,
|
| 1611 |
+
"learning_rate": 1.6880000000000002e-06,
|
| 1612 |
+
"loss": 0.8632,
|
| 1613 |
+
"step": 2290
|
| 1614 |
+
},
|
| 1615 |
+
{
|
| 1616 |
+
"epoch": 0.92,
|
| 1617 |
+
"grad_norm": 2.7009341716766357,
|
| 1618 |
+
"learning_rate": 1.608e-06,
|
| 1619 |
+
"loss": 0.6919,
|
| 1620 |
+
"step": 2300
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 0.924,
|
| 1624 |
+
"grad_norm": 6.126946449279785,
|
| 1625 |
+
"learning_rate": 1.528e-06,
|
| 1626 |
+
"loss": 0.7582,
|
| 1627 |
+
"step": 2310
|
| 1628 |
+
},
|
| 1629 |
+
{
|
| 1630 |
+
"epoch": 0.928,
|
| 1631 |
+
"grad_norm": 2.268087387084961,
|
| 1632 |
+
"learning_rate": 1.4480000000000002e-06,
|
| 1633 |
+
"loss": 0.6809,
|
| 1634 |
+
"step": 2320
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 0.932,
|
| 1638 |
+
"grad_norm": 3.783358335494995,
|
| 1639 |
+
"learning_rate": 1.368e-06,
|
| 1640 |
+
"loss": 0.7445,
|
| 1641 |
+
"step": 2330
|
| 1642 |
+
},
|
| 1643 |
+
{
|
| 1644 |
+
"epoch": 0.936,
|
| 1645 |
+
"grad_norm": 4.899768829345703,
|
| 1646 |
+
"learning_rate": 1.288e-06,
|
| 1647 |
+
"loss": 0.7178,
|
| 1648 |
+
"step": 2340
|
| 1649 |
+
},
|
| 1650 |
+
{
|
| 1651 |
+
"epoch": 0.94,
|
| 1652 |
+
"grad_norm": 3.765782356262207,
|
| 1653 |
+
"learning_rate": 1.2080000000000001e-06,
|
| 1654 |
+
"loss": 0.7609,
|
| 1655 |
+
"step": 2350
|
| 1656 |
+
},
|
| 1657 |
+
{
|
| 1658 |
+
"epoch": 0.944,
|
| 1659 |
+
"grad_norm": 4.587326526641846,
|
| 1660 |
+
"learning_rate": 1.128e-06,
|
| 1661 |
+
"loss": 0.6941,
|
| 1662 |
+
"step": 2360
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 0.948,
|
| 1666 |
+
"grad_norm": 4.030784606933594,
|
| 1667 |
+
"learning_rate": 1.0480000000000002e-06,
|
| 1668 |
+
"loss": 0.6918,
|
| 1669 |
+
"step": 2370
|
| 1670 |
+
},
|
| 1671 |
+
{
|
| 1672 |
+
"epoch": 0.952,
|
| 1673 |
+
"grad_norm": 4.84142541885376,
|
| 1674 |
+
"learning_rate": 9.68e-07,
|
| 1675 |
+
"loss": 0.6424,
|
| 1676 |
+
"step": 2380
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 0.956,
|
| 1680 |
+
"grad_norm": 7.12539529800415,
|
| 1681 |
+
"learning_rate": 8.880000000000001e-07,
|
| 1682 |
+
"loss": 0.7323,
|
| 1683 |
+
"step": 2390
|
| 1684 |
+
},
|
| 1685 |
+
{
|
| 1686 |
+
"epoch": 0.96,
|
| 1687 |
+
"grad_norm": 2.630418539047241,
|
| 1688 |
+
"learning_rate": 8.08e-07,
|
| 1689 |
+
"loss": 0.7747,
|
| 1690 |
+
"step": 2400
|
| 1691 |
+
},
|
| 1692 |
+
{
|
| 1693 |
+
"epoch": 0.964,
|
| 1694 |
+
"grad_norm": 3.6240687370300293,
|
| 1695 |
+
"learning_rate": 7.280000000000001e-07,
|
| 1696 |
+
"loss": 0.6401,
|
| 1697 |
+
"step": 2410
|
| 1698 |
+
},
|
| 1699 |
+
{
|
| 1700 |
+
"epoch": 0.968,
|
| 1701 |
+
"grad_norm": 2.6736936569213867,
|
| 1702 |
+
"learning_rate": 6.48e-07,
|
| 1703 |
+
"loss": 0.6785,
|
| 1704 |
+
"step": 2420
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 0.972,
|
| 1708 |
+
"grad_norm": 2.631958246231079,
|
| 1709 |
+
"learning_rate": 5.680000000000001e-07,
|
| 1710 |
+
"loss": 0.7415,
|
| 1711 |
+
"step": 2430
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 0.976,
|
| 1715 |
+
"grad_norm": 2.158177137374878,
|
| 1716 |
+
"learning_rate": 4.88e-07,
|
| 1717 |
+
"loss": 0.744,
|
| 1718 |
+
"step": 2440
|
| 1719 |
+
},
|
| 1720 |
+
{
|
| 1721 |
+
"epoch": 0.98,
|
| 1722 |
+
"grad_norm": 4.066929817199707,
|
| 1723 |
+
"learning_rate": 4.0800000000000005e-07,
|
| 1724 |
+
"loss": 0.7974,
|
| 1725 |
+
"step": 2450
|
| 1726 |
+
},
|
| 1727 |
+
{
|
| 1728 |
+
"epoch": 0.984,
|
| 1729 |
+
"grad_norm": 3.5081562995910645,
|
| 1730 |
+
"learning_rate": 3.280000000000001e-07,
|
| 1731 |
+
"loss": 0.7216,
|
| 1732 |
+
"step": 2460
|
| 1733 |
+
},
|
| 1734 |
+
{
|
| 1735 |
+
"epoch": 0.988,
|
| 1736 |
+
"grad_norm": 3.929936170578003,
|
| 1737 |
+
"learning_rate": 2.48e-07,
|
| 1738 |
+
"loss": 0.6835,
|
| 1739 |
+
"step": 2470
|
| 1740 |
+
},
|
| 1741 |
+
{
|
| 1742 |
+
"epoch": 0.992,
|
| 1743 |
+
"grad_norm": 2.827505350112915,
|
| 1744 |
+
"learning_rate": 1.68e-07,
|
| 1745 |
+
"loss": 0.7287,
|
| 1746 |
+
"step": 2480
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 0.996,
|
| 1750 |
+
"grad_norm": 3.1354634761810303,
|
| 1751 |
+
"learning_rate": 8.800000000000001e-08,
|
| 1752 |
+
"loss": 0.6532,
|
| 1753 |
+
"step": 2490
|
| 1754 |
+
},
|
| 1755 |
+
{
|
| 1756 |
+
"epoch": 1.0,
|
| 1757 |
+
"grad_norm": 2.7581207752227783,
|
| 1758 |
+
"learning_rate": 8e-09,
|
| 1759 |
+
"loss": 0.7283,
|
| 1760 |
+
"step": 2500
|
| 1761 |
+
},
|
| 1762 |
+
{
|
| 1763 |
+
"epoch": 1.0,
|
| 1764 |
+
"eval_accuracy": 0.7924654812754545,
|
| 1765 |
+
"eval_f1": 0.4610274716746857,
|
| 1766 |
+
"eval_loss": 0.6840835213661194,
|
| 1767 |
+
"eval_precision": 0.4109801317173059,
|
| 1768 |
+
"eval_recall": 0.5249540506150149,
|
| 1769 |
+
"eval_runtime": 53.0748,
|
| 1770 |
+
"eval_samples_per_second": 188.413,
|
| 1771 |
+
"eval_steps_per_second": 23.552,
|
| 1772 |
+
"step": 2500
|
| 1773 |
+
}
|
| 1774 |
+
],
|
| 1775 |
+
"logging_steps": 10,
|
| 1776 |
+
"max_steps": 2500,
|
| 1777 |
+
"num_input_tokens_seen": 0,
|
| 1778 |
+
"num_train_epochs": 1,
|
| 1779 |
+
"save_steps": 500,
|
| 1780 |
+
"stateful_callbacks": {
|
| 1781 |
+
"TrainerControl": {
|
| 1782 |
+
"args": {
|
| 1783 |
+
"should_epoch_stop": false,
|
| 1784 |
+
"should_evaluate": false,
|
| 1785 |
+
"should_log": false,
|
| 1786 |
+
"should_save": true,
|
| 1787 |
+
"should_training_stop": true
|
| 1788 |
+
},
|
| 1789 |
+
"attributes": {}
|
| 1790 |
+
}
|
| 1791 |
+
},
|
| 1792 |
+
"total_flos": 3884764894814016.0,
|
| 1793 |
+
"train_batch_size": 8,
|
| 1794 |
+
"trial_name": null,
|
| 1795 |
+
"trial_params": null
|
| 1796 |
+
}
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c2aa3da10f1aa4078db41327431415d5a2b91757462db489e71c0643d1fd6815
|
| 3 |
+
size 5777
|
checkpoints/ner-wikiann-bert-smoke/checkpoint-2500/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoints/ner-wikiann-bert-smoke/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
checkpoints/ner-wikiann-bert-smoke/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoints/ner-wikiann-bert-smoke/tokenizer_config.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": false,
|
| 47 |
+
"extra_special_tokens": {},
|
| 48 |
+
"mask_token": "[MASK]",
|
| 49 |
+
"model_max_length": 512,
|
| 50 |
+
"pad_token": "[PAD]",
|
| 51 |
+
"sep_token": "[SEP]",
|
| 52 |
+
"strip_accents": null,
|
| 53 |
+
"tokenize_chinese_chars": true,
|
| 54 |
+
"tokenizer_class": "BertTokenizer",
|
| 55 |
+
"unk_token": "[UNK]"
|
| 56 |
+
}
|
checkpoints/ner-wikiann-bert-smoke/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|