Upload checkpoint-3930 to mmdocteam
Browse files- README.md +206 -0
- adapter_config.json +43 -0
- adapter_model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +750 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,206 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: Qwen/Qwen3-Embedding-4B
|
| 3 |
+
library_name: peft
|
| 4 |
+
tags:
|
| 5 |
+
- base_model:adapter:Qwen/Qwen3-Embedding-4B
|
| 6 |
+
- lora
|
| 7 |
+
- transformers
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# Model Card for Model ID
|
| 11 |
+
|
| 12 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
|
| 16 |
+
## Model Details
|
| 17 |
+
|
| 18 |
+
### Model Description
|
| 19 |
+
|
| 20 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
- **Developed by:** [More Information Needed]
|
| 25 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 26 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 27 |
+
- **Model type:** [More Information Needed]
|
| 28 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 29 |
+
- **License:** [More Information Needed]
|
| 30 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 31 |
+
|
| 32 |
+
### Model Sources [optional]
|
| 33 |
+
|
| 34 |
+
<!-- Provide the basic links for the model. -->
|
| 35 |
+
|
| 36 |
+
- **Repository:** [More Information Needed]
|
| 37 |
+
- **Paper [optional]:** [More Information Needed]
|
| 38 |
+
- **Demo [optional]:** [More Information Needed]
|
| 39 |
+
|
| 40 |
+
## Uses
|
| 41 |
+
|
| 42 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 43 |
+
|
| 44 |
+
### Direct Use
|
| 45 |
+
|
| 46 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 47 |
+
|
| 48 |
+
[More Information Needed]
|
| 49 |
+
|
| 50 |
+
### Downstream Use [optional]
|
| 51 |
+
|
| 52 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 53 |
+
|
| 54 |
+
[More Information Needed]
|
| 55 |
+
|
| 56 |
+
### Out-of-Scope Use
|
| 57 |
+
|
| 58 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 59 |
+
|
| 60 |
+
[More Information Needed]
|
| 61 |
+
|
| 62 |
+
## Bias, Risks, and Limitations
|
| 63 |
+
|
| 64 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 65 |
+
|
| 66 |
+
[More Information Needed]
|
| 67 |
+
|
| 68 |
+
### Recommendations
|
| 69 |
+
|
| 70 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 71 |
+
|
| 72 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 73 |
+
|
| 74 |
+
## How to Get Started with the Model
|
| 75 |
+
|
| 76 |
+
Use the code below to get started with the model.
|
| 77 |
+
|
| 78 |
+
[More Information Needed]
|
| 79 |
+
|
| 80 |
+
## Training Details
|
| 81 |
+
|
| 82 |
+
### Training Data
|
| 83 |
+
|
| 84 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 85 |
+
|
| 86 |
+
[More Information Needed]
|
| 87 |
+
|
| 88 |
+
### Training Procedure
|
| 89 |
+
|
| 90 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 91 |
+
|
| 92 |
+
#### Preprocessing [optional]
|
| 93 |
+
|
| 94 |
+
[More Information Needed]
|
| 95 |
+
|
| 96 |
+
|
| 97 |
+
#### Training Hyperparameters
|
| 98 |
+
|
| 99 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 100 |
+
|
| 101 |
+
#### Speeds, Sizes, Times [optional]
|
| 102 |
+
|
| 103 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 104 |
+
|
| 105 |
+
[More Information Needed]
|
| 106 |
+
|
| 107 |
+
## Evaluation
|
| 108 |
+
|
| 109 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 110 |
+
|
| 111 |
+
### Testing Data, Factors & Metrics
|
| 112 |
+
|
| 113 |
+
#### Testing Data
|
| 114 |
+
|
| 115 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 116 |
+
|
| 117 |
+
[More Information Needed]
|
| 118 |
+
|
| 119 |
+
#### Factors
|
| 120 |
+
|
| 121 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 122 |
+
|
| 123 |
+
[More Information Needed]
|
| 124 |
+
|
| 125 |
+
#### Metrics
|
| 126 |
+
|
| 127 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
### Results
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
#### Summary
|
| 136 |
+
|
| 137 |
+
|
| 138 |
+
|
| 139 |
+
## Model Examination [optional]
|
| 140 |
+
|
| 141 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 142 |
+
|
| 143 |
+
[More Information Needed]
|
| 144 |
+
|
| 145 |
+
## Environmental Impact
|
| 146 |
+
|
| 147 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 148 |
+
|
| 149 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 150 |
+
|
| 151 |
+
- **Hardware Type:** [More Information Needed]
|
| 152 |
+
- **Hours used:** [More Information Needed]
|
| 153 |
+
- **Cloud Provider:** [More Information Needed]
|
| 154 |
+
- **Compute Region:** [More Information Needed]
|
| 155 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 156 |
+
|
| 157 |
+
## Technical Specifications [optional]
|
| 158 |
+
|
| 159 |
+
### Model Architecture and Objective
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
### Compute Infrastructure
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Hardware
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Software
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
## Citation [optional]
|
| 176 |
+
|
| 177 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 178 |
+
|
| 179 |
+
**BibTeX:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
**APA:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
## Glossary [optional]
|
| 188 |
+
|
| 189 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## More Information [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Authors [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Contact
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
### Framework versions
|
| 205 |
+
|
| 206 |
+
- PEFT 0.17.1
|
adapter_config.json
ADDED
|
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "Qwen/Qwen3-Embedding-4B",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": "gaussian",
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 32,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.1,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"qalora_group_size": 16,
|
| 24 |
+
"r": 32,
|
| 25 |
+
"rank_pattern": {},
|
| 26 |
+
"revision": null,
|
| 27 |
+
"target_modules": [
|
| 28 |
+
"v_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"custom_text_proj",
|
| 31 |
+
"q_proj",
|
| 32 |
+
"up_proj",
|
| 33 |
+
"gate_proj",
|
| 34 |
+
"o_proj",
|
| 35 |
+
"k_proj"
|
| 36 |
+
],
|
| 37 |
+
"target_parameters": null,
|
| 38 |
+
"task_type": "FEATURE_EXTRACTION",
|
| 39 |
+
"trainable_token_indices": null,
|
| 40 |
+
"use_dora": false,
|
| 41 |
+
"use_qalora": false,
|
| 42 |
+
"use_rslora": false
|
| 43 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bfacc3bbebbba3e291f24a6523fb8f4be054e3da7ec2bf7a3a0560549c384af0
|
| 3 |
+
size 264650168
|
optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7776c967d42a9e1410ac8af5be3f3dac3c0c92f3648f069a0d5c7f66b1c8f381
|
| 3 |
+
size 529605265
|
rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b4cfa472cabb81ec488f46eea179e6614e05a9e68d05a23fc84628bfc8adf594
|
| 3 |
+
size 14645
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7fc1a48a9381aaf548fbac68f6c3dceb4b383299ca07a1ab47f8acc883095bac
|
| 3 |
+
size 1465
|
trainer_state.json
ADDED
|
@@ -0,0 +1,750 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.3816793893129771,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1000,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.003816793893129771,
|
| 14 |
+
"grad_norm": 2.560382604598999,
|
| 15 |
+
"learning_rate": 1.3740458015267178e-06,
|
| 16 |
+
"loss": 0.1604,
|
| 17 |
+
"step": 10
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.007633587786259542,
|
| 21 |
+
"grad_norm": 3.7791059017181396,
|
| 22 |
+
"learning_rate": 2.900763358778626e-06,
|
| 23 |
+
"loss": 0.2,
|
| 24 |
+
"step": 20
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.011450381679389313,
|
| 28 |
+
"grad_norm": 3.4597890377044678,
|
| 29 |
+
"learning_rate": 4.427480916030535e-06,
|
| 30 |
+
"loss": 0.1753,
|
| 31 |
+
"step": 30
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.015267175572519083,
|
| 35 |
+
"grad_norm": 2.7554614543914795,
|
| 36 |
+
"learning_rate": 5.9541984732824435e-06,
|
| 37 |
+
"loss": 0.1171,
|
| 38 |
+
"step": 40
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.019083969465648856,
|
| 42 |
+
"grad_norm": 2.082803726196289,
|
| 43 |
+
"learning_rate": 7.480916030534352e-06,
|
| 44 |
+
"loss": 0.0549,
|
| 45 |
+
"step": 50
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.022900763358778626,
|
| 49 |
+
"grad_norm": 2.8653404712677,
|
| 50 |
+
"learning_rate": 9.007633587786259e-06,
|
| 51 |
+
"loss": 0.0671,
|
| 52 |
+
"step": 60
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.026717557251908396,
|
| 56 |
+
"grad_norm": 1.3137264251708984,
|
| 57 |
+
"learning_rate": 1.0534351145038168e-05,
|
| 58 |
+
"loss": 0.0492,
|
| 59 |
+
"step": 70
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.030534351145038167,
|
| 63 |
+
"grad_norm": 1.7409602403640747,
|
| 64 |
+
"learning_rate": 1.2061068702290078e-05,
|
| 65 |
+
"loss": 0.0343,
|
| 66 |
+
"step": 80
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.03435114503816794,
|
| 70 |
+
"grad_norm": 0.6623567342758179,
|
| 71 |
+
"learning_rate": 1.3587786259541987e-05,
|
| 72 |
+
"loss": 0.0439,
|
| 73 |
+
"step": 90
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.03816793893129771,
|
| 77 |
+
"grad_norm": 1.5286792516708374,
|
| 78 |
+
"learning_rate": 1.5114503816793895e-05,
|
| 79 |
+
"loss": 0.0377,
|
| 80 |
+
"step": 100
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.04198473282442748,
|
| 84 |
+
"grad_norm": 0.9364567399024963,
|
| 85 |
+
"learning_rate": 1.6641221374045802e-05,
|
| 86 |
+
"loss": 0.019,
|
| 87 |
+
"step": 110
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.04580152671755725,
|
| 91 |
+
"grad_norm": 0.9754840135574341,
|
| 92 |
+
"learning_rate": 1.816793893129771e-05,
|
| 93 |
+
"loss": 0.0245,
|
| 94 |
+
"step": 120
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.04961832061068702,
|
| 98 |
+
"grad_norm": 0.17266954481601715,
|
| 99 |
+
"learning_rate": 1.969465648854962e-05,
|
| 100 |
+
"loss": 0.0259,
|
| 101 |
+
"step": 130
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.05343511450381679,
|
| 105 |
+
"grad_norm": 1.5330302715301514,
|
| 106 |
+
"learning_rate": 2.122137404580153e-05,
|
| 107 |
+
"loss": 0.0268,
|
| 108 |
+
"step": 140
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.05725190839694656,
|
| 112 |
+
"grad_norm": 1.4104247093200684,
|
| 113 |
+
"learning_rate": 2.2748091603053437e-05,
|
| 114 |
+
"loss": 0.0211,
|
| 115 |
+
"step": 150
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.061068702290076333,
|
| 119 |
+
"grad_norm": 0.004101096652448177,
|
| 120 |
+
"learning_rate": 2.4274809160305344e-05,
|
| 121 |
+
"loss": 0.0263,
|
| 122 |
+
"step": 160
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.0648854961832061,
|
| 126 |
+
"grad_norm": 0.6165310144424438,
|
| 127 |
+
"learning_rate": 2.5801526717557254e-05,
|
| 128 |
+
"loss": 0.0138,
|
| 129 |
+
"step": 170
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.06870229007633588,
|
| 133 |
+
"grad_norm": 0.37463024258613586,
|
| 134 |
+
"learning_rate": 2.732824427480916e-05,
|
| 135 |
+
"loss": 0.0322,
|
| 136 |
+
"step": 180
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.07251908396946564,
|
| 140 |
+
"grad_norm": 0.620210587978363,
|
| 141 |
+
"learning_rate": 2.885496183206107e-05,
|
| 142 |
+
"loss": 0.0188,
|
| 143 |
+
"step": 190
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.07633587786259542,
|
| 147 |
+
"grad_norm": 0.758702278137207,
|
| 148 |
+
"learning_rate": 3.038167938931298e-05,
|
| 149 |
+
"loss": 0.0139,
|
| 150 |
+
"step": 200
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.08015267175572519,
|
| 154 |
+
"grad_norm": 1.3074781894683838,
|
| 155 |
+
"learning_rate": 3.190839694656489e-05,
|
| 156 |
+
"loss": 0.0306,
|
| 157 |
+
"step": 210
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.08396946564885496,
|
| 161 |
+
"grad_norm": 0.6031699776649475,
|
| 162 |
+
"learning_rate": 3.3435114503816796e-05,
|
| 163 |
+
"loss": 0.0175,
|
| 164 |
+
"step": 220
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.08778625954198473,
|
| 168 |
+
"grad_norm": 1.136716365814209,
|
| 169 |
+
"learning_rate": 3.4961832061068706e-05,
|
| 170 |
+
"loss": 0.0242,
|
| 171 |
+
"step": 230
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.0916030534351145,
|
| 175 |
+
"grad_norm": 0.5463850498199463,
|
| 176 |
+
"learning_rate": 3.6488549618320616e-05,
|
| 177 |
+
"loss": 0.0218,
|
| 178 |
+
"step": 240
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.09541984732824428,
|
| 182 |
+
"grad_norm": 0.1893869787454605,
|
| 183 |
+
"learning_rate": 3.801526717557252e-05,
|
| 184 |
+
"loss": 0.0171,
|
| 185 |
+
"step": 250
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.09923664122137404,
|
| 189 |
+
"grad_norm": 0.05841643363237381,
|
| 190 |
+
"learning_rate": 3.954198473282443e-05,
|
| 191 |
+
"loss": 0.0183,
|
| 192 |
+
"step": 260
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.10305343511450382,
|
| 196 |
+
"grad_norm": 0.5519092082977295,
|
| 197 |
+
"learning_rate": 3.999913022869401e-05,
|
| 198 |
+
"loss": 0.0171,
|
| 199 |
+
"step": 270
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.10687022900763359,
|
| 203 |
+
"grad_norm": 0.75583815574646,
|
| 204 |
+
"learning_rate": 3.999487030645216e-05,
|
| 205 |
+
"loss": 0.0269,
|
| 206 |
+
"step": 280
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.11068702290076336,
|
| 210 |
+
"grad_norm": 0.34393128752708435,
|
| 211 |
+
"learning_rate": 3.998706123456487e-05,
|
| 212 |
+
"loss": 0.021,
|
| 213 |
+
"step": 290
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.11450381679389313,
|
| 217 |
+
"grad_norm": 0.741912841796875,
|
| 218 |
+
"learning_rate": 3.997570439916593e-05,
|
| 219 |
+
"loss": 0.0139,
|
| 220 |
+
"step": 300
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.1183206106870229,
|
| 224 |
+
"grad_norm": 0.42950552701950073,
|
| 225 |
+
"learning_rate": 3.996080181612776e-05,
|
| 226 |
+
"loss": 0.01,
|
| 227 |
+
"step": 310
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.12213740458015267,
|
| 231 |
+
"grad_norm": 0.8363562822341919,
|
| 232 |
+
"learning_rate": 3.9942356130703715e-05,
|
| 233 |
+
"loss": 0.0119,
|
| 234 |
+
"step": 320
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.12595419847328243,
|
| 238 |
+
"grad_norm": 0.2727142572402954,
|
| 239 |
+
"learning_rate": 3.992037061705845e-05,
|
| 240 |
+
"loss": 0.0127,
|
| 241 |
+
"step": 330
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.1297709923664122,
|
| 245 |
+
"grad_norm": 1.3103034496307373,
|
| 246 |
+
"learning_rate": 3.98948491776868e-05,
|
| 247 |
+
"loss": 0.0167,
|
| 248 |
+
"step": 340
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.13358778625954199,
|
| 252 |
+
"grad_norm": 0.1281624436378479,
|
| 253 |
+
"learning_rate": 3.986579634272105e-05,
|
| 254 |
+
"loss": 0.0178,
|
| 255 |
+
"step": 350
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.13740458015267176,
|
| 259 |
+
"grad_norm": 0.22181691229343414,
|
| 260 |
+
"learning_rate": 3.9833217269126826e-05,
|
| 261 |
+
"loss": 0.0213,
|
| 262 |
+
"step": 360
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.14122137404580154,
|
| 266 |
+
"grad_norm": 0.3226180970668793,
|
| 267 |
+
"learning_rate": 3.979711773978772e-05,
|
| 268 |
+
"loss": 0.0177,
|
| 269 |
+
"step": 370
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1450381679389313,
|
| 273 |
+
"grad_norm": 0.15748214721679688,
|
| 274 |
+
"learning_rate": 3.9757504162478827e-05,
|
| 275 |
+
"loss": 0.0161,
|
| 276 |
+
"step": 380
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.14885496183206107,
|
| 280 |
+
"grad_norm": 0.7109506726264954,
|
| 281 |
+
"learning_rate": 3.971438356872931e-05,
|
| 282 |
+
"loss": 0.0186,
|
| 283 |
+
"step": 390
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.15267175572519084,
|
| 287 |
+
"grad_norm": 0.1298808604478836,
|
| 288 |
+
"learning_rate": 3.966776361257431e-05,
|
| 289 |
+
"loss": 0.0068,
|
| 290 |
+
"step": 400
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.15648854961832062,
|
| 294 |
+
"grad_norm": 0.5112190842628479,
|
| 295 |
+
"learning_rate": 3.961765256919633e-05,
|
| 296 |
+
"loss": 0.0175,
|
| 297 |
+
"step": 410
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.16030534351145037,
|
| 301 |
+
"grad_norm": 0.12070173770189285,
|
| 302 |
+
"learning_rate": 3.956405933345637e-05,
|
| 303 |
+
"loss": 0.0138,
|
| 304 |
+
"step": 420
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.16412213740458015,
|
| 308 |
+
"grad_norm": 0.009782848879694939,
|
| 309 |
+
"learning_rate": 3.950699341831502e-05,
|
| 310 |
+
"loss": 0.0087,
|
| 311 |
+
"step": 430
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.16793893129770993,
|
| 315 |
+
"grad_norm": 0.49791470170021057,
|
| 316 |
+
"learning_rate": 3.944646495314395e-05,
|
| 317 |
+
"loss": 0.0153,
|
| 318 |
+
"step": 440
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.1717557251908397,
|
| 322 |
+
"grad_norm": 0.5504122376441956,
|
| 323 |
+
"learning_rate": 3.938248468192785e-05,
|
| 324 |
+
"loss": 0.0202,
|
| 325 |
+
"step": 450
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.17557251908396945,
|
| 329 |
+
"grad_norm": 1.6467090845108032,
|
| 330 |
+
"learning_rate": 3.931506396135738e-05,
|
| 331 |
+
"loss": 0.0206,
|
| 332 |
+
"step": 460
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.17938931297709923,
|
| 336 |
+
"grad_norm": 0.4959694445133209,
|
| 337 |
+
"learning_rate": 3.924421475881333e-05,
|
| 338 |
+
"loss": 0.0146,
|
| 339 |
+
"step": 470
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.183206106870229,
|
| 343 |
+
"grad_norm": 0.6547468304634094,
|
| 344 |
+
"learning_rate": 3.916994965024234e-05,
|
| 345 |
+
"loss": 0.014,
|
| 346 |
+
"step": 480
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.18702290076335878,
|
| 350 |
+
"grad_norm": 0.37912440299987793,
|
| 351 |
+
"learning_rate": 3.909228181792464e-05,
|
| 352 |
+
"loss": 0.0149,
|
| 353 |
+
"step": 490
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.19083969465648856,
|
| 357 |
+
"grad_norm": 0.17722374200820923,
|
| 358 |
+
"learning_rate": 3.901122504813418e-05,
|
| 359 |
+
"loss": 0.0142,
|
| 360 |
+
"step": 500
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.19083969465648856,
|
| 364 |
+
"eval_loss": 0.03738304600119591,
|
| 365 |
+
"eval_runtime": 140.2925,
|
| 366 |
+
"eval_samples_per_second": 56.895,
|
| 367 |
+
"eval_steps_per_second": 0.299,
|
| 368 |
+
"step": 500
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.1946564885496183,
|
| 372 |
+
"grad_norm": 0.012979953549802303,
|
| 373 |
+
"learning_rate": 3.89267937286915e-05,
|
| 374 |
+
"loss": 0.0095,
|
| 375 |
+
"step": 510
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.1984732824427481,
|
| 379 |
+
"grad_norm": 0.30195748805999756,
|
| 380 |
+
"learning_rate": 3.883900284640987e-05,
|
| 381 |
+
"loss": 0.0075,
|
| 382 |
+
"step": 520
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.20229007633587787,
|
| 386 |
+
"grad_norm": 0.7806116938591003,
|
| 387 |
+
"learning_rate": 3.874786798443505e-05,
|
| 388 |
+
"loss": 0.0169,
|
| 389 |
+
"step": 530
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.20610687022900764,
|
| 393 |
+
"grad_norm": 0.17662391066551208,
|
| 394 |
+
"learning_rate": 3.8653405319479285e-05,
|
| 395 |
+
"loss": 0.0135,
|
| 396 |
+
"step": 540
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.2099236641221374,
|
| 400 |
+
"grad_norm": 0.12067825347185135,
|
| 401 |
+
"learning_rate": 3.855563161894985e-05,
|
| 402 |
+
"loss": 0.0104,
|
| 403 |
+
"step": 550
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.21374045801526717,
|
| 407 |
+
"grad_norm": 0.5847358107566833,
|
| 408 |
+
"learning_rate": 3.8454564237972786e-05,
|
| 409 |
+
"loss": 0.0175,
|
| 410 |
+
"step": 560
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.21755725190839695,
|
| 414 |
+
"grad_norm": 0.2978436350822449,
|
| 415 |
+
"learning_rate": 3.835022111631235e-05,
|
| 416 |
+
"loss": 0.0093,
|
| 417 |
+
"step": 570
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.22137404580152673,
|
| 421 |
+
"grad_norm": 0.07228351384401321,
|
| 422 |
+
"learning_rate": 3.8242620775186596e-05,
|
| 423 |
+
"loss": 0.0111,
|
| 424 |
+
"step": 580
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.22519083969465647,
|
| 428 |
+
"grad_norm": 0.33176591992378235,
|
| 429 |
+
"learning_rate": 3.8131782313979864e-05,
|
| 430 |
+
"loss": 0.0087,
|
| 431 |
+
"step": 590
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.22900763358778625,
|
| 435 |
+
"grad_norm": 0.08005018532276154,
|
| 436 |
+
"learning_rate": 3.801772540685253e-05,
|
| 437 |
+
"loss": 0.011,
|
| 438 |
+
"step": 600
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.23282442748091603,
|
| 442 |
+
"grad_norm": 0.09141408652067184,
|
| 443 |
+
"learning_rate": 3.7900470299248824e-05,
|
| 444 |
+
"loss": 0.0111,
|
| 445 |
+
"step": 610
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.2366412213740458,
|
| 449 |
+
"grad_norm": 0.21106335520744324,
|
| 450 |
+
"learning_rate": 3.778003780430317e-05,
|
| 451 |
+
"loss": 0.0091,
|
| 452 |
+
"step": 620
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.24045801526717558,
|
| 456 |
+
"grad_norm": 0.8840196132659912,
|
| 457 |
+
"learning_rate": 3.7656449299145814e-05,
|
| 458 |
+
"loss": 0.0096,
|
| 459 |
+
"step": 630
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.24427480916030533,
|
| 463 |
+
"grad_norm": 0.09080683439970016,
|
| 464 |
+
"learning_rate": 3.7529726721108305e-05,
|
| 465 |
+
"loss": 0.0113,
|
| 466 |
+
"step": 640
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.2480916030534351,
|
| 470 |
+
"grad_norm": 0.026247017085552216,
|
| 471 |
+
"learning_rate": 3.739989256382957e-05,
|
| 472 |
+
"loss": 0.0117,
|
| 473 |
+
"step": 650
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.25190839694656486,
|
| 477 |
+
"grad_norm": 0.116756871342659,
|
| 478 |
+
"learning_rate": 3.726696987326319e-05,
|
| 479 |
+
"loss": 0.0097,
|
| 480 |
+
"step": 660
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.25572519083969464,
|
| 484 |
+
"grad_norm": 0.23034921288490295,
|
| 485 |
+
"learning_rate": 3.713098224358673e-05,
|
| 486 |
+
"loss": 0.0072,
|
| 487 |
+
"step": 670
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.2595419847328244,
|
| 491 |
+
"grad_norm": 0.03517864644527435,
|
| 492 |
+
"learning_rate": 3.699195381301364e-05,
|
| 493 |
+
"loss": 0.0048,
|
| 494 |
+
"step": 680
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.2633587786259542,
|
| 498 |
+
"grad_norm": 0.23623879253864288,
|
| 499 |
+
"learning_rate": 3.684990925950871e-05,
|
| 500 |
+
"loss": 0.0103,
|
| 501 |
+
"step": 690
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.26717557251908397,
|
| 505 |
+
"grad_norm": 0.043465759605169296,
|
| 506 |
+
"learning_rate": 3.6704873796407605e-05,
|
| 507 |
+
"loss": 0.0118,
|
| 508 |
+
"step": 700
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.27099236641221375,
|
| 512 |
+
"grad_norm": 0.2958603799343109,
|
| 513 |
+
"learning_rate": 3.655687316794144e-05,
|
| 514 |
+
"loss": 0.0092,
|
| 515 |
+
"step": 710
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.2748091603053435,
|
| 519 |
+
"grad_norm": 0.20194493234157562,
|
| 520 |
+
"learning_rate": 3.640593364466712e-05,
|
| 521 |
+
"loss": 0.0097,
|
| 522 |
+
"step": 720
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.2786259541984733,
|
| 526 |
+
"grad_norm": 1.3390525579452515,
|
| 527 |
+
"learning_rate": 3.625208201880421e-05,
|
| 528 |
+
"loss": 0.0155,
|
| 529 |
+
"step": 730
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.2824427480916031,
|
| 533 |
+
"grad_norm": 0.41017207503318787,
|
| 534 |
+
"learning_rate": 3.609534559947926e-05,
|
| 535 |
+
"loss": 0.0122,
|
| 536 |
+
"step": 740
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.2862595419847328,
|
| 540 |
+
"grad_norm": 0.30380892753601074,
|
| 541 |
+
"learning_rate": 3.5935752207878315e-05,
|
| 542 |
+
"loss": 0.0112,
|
| 543 |
+
"step": 750
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.2900763358778626,
|
| 547 |
+
"grad_norm": 0.3873494863510132,
|
| 548 |
+
"learning_rate": 3.5773330172308627e-05,
|
| 549 |
+
"loss": 0.0067,
|
| 550 |
+
"step": 760
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.29389312977099236,
|
| 554 |
+
"grad_norm": 0.4039303958415985,
|
| 555 |
+
"learning_rate": 3.5608108323170246e-05,
|
| 556 |
+
"loss": 0.0109,
|
| 557 |
+
"step": 770
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.29770992366412213,
|
| 561 |
+
"grad_norm": 0.5778370499610901,
|
| 562 |
+
"learning_rate": 3.544011598783855e-05,
|
| 563 |
+
"loss": 0.0177,
|
| 564 |
+
"step": 780
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.3015267175572519,
|
| 568 |
+
"grad_norm": 0.032092221081256866,
|
| 569 |
+
"learning_rate": 3.526938298545858e-05,
|
| 570 |
+
"loss": 0.0144,
|
| 571 |
+
"step": 790
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.3053435114503817,
|
| 575 |
+
"grad_norm": 0.06190834194421768,
|
| 576 |
+
"learning_rate": 3.509593962165199e-05,
|
| 577 |
+
"loss": 0.0117,
|
| 578 |
+
"step": 800
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.30916030534351147,
|
| 582 |
+
"grad_norm": 0.609595000743866,
|
| 583 |
+
"learning_rate": 3.491981668313776e-05,
|
| 584 |
+
"loss": 0.0141,
|
| 585 |
+
"step": 810
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.31297709923664124,
|
| 589 |
+
"grad_norm": 0.14446590840816498,
|
| 590 |
+
"learning_rate": 3.474104543226746e-05,
|
| 591 |
+
"loss": 0.0125,
|
| 592 |
+
"step": 820
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.31679389312977096,
|
| 596 |
+
"grad_norm": 0.23196451365947723,
|
| 597 |
+
"learning_rate": 3.455965760147604e-05,
|
| 598 |
+
"loss": 0.0068,
|
| 599 |
+
"step": 830
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.32061068702290074,
|
| 603 |
+
"grad_norm": 0.4062262177467346,
|
| 604 |
+
"learning_rate": 3.4375685387649266e-05,
|
| 605 |
+
"loss": 0.0157,
|
| 606 |
+
"step": 840
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.3244274809160305,
|
| 610 |
+
"grad_norm": 0.16551926732063293,
|
| 611 |
+
"learning_rate": 3.4189161446408706e-05,
|
| 612 |
+
"loss": 0.0048,
|
| 613 |
+
"step": 850
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.3282442748091603,
|
| 617 |
+
"grad_norm": 0.1871049553155899,
|
| 618 |
+
"learning_rate": 3.4000118886315173e-05,
|
| 619 |
+
"loss": 0.0082,
|
| 620 |
+
"step": 860
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.3320610687022901,
|
| 624 |
+
"grad_norm": 0.437691330909729,
|
| 625 |
+
"learning_rate": 3.3808591262991935e-05,
|
| 626 |
+
"loss": 0.0133,
|
| 627 |
+
"step": 870
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.33587786259541985,
|
| 631 |
+
"grad_norm": 0.24410566687583923,
|
| 632 |
+
"learning_rate": 3.361461257316845e-05,
|
| 633 |
+
"loss": 0.007,
|
| 634 |
+
"step": 880
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.33969465648854963,
|
| 638 |
+
"grad_norm": 0.532948911190033,
|
| 639 |
+
"learning_rate": 3.341821724864585e-05,
|
| 640 |
+
"loss": 0.0097,
|
| 641 |
+
"step": 890
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.3435114503816794,
|
| 645 |
+
"grad_norm": 0.1803872287273407,
|
| 646 |
+
"learning_rate": 3.321944015018522e-05,
|
| 647 |
+
"loss": 0.0074,
|
| 648 |
+
"step": 900
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.3473282442748092,
|
| 652 |
+
"grad_norm": 0.019201336428523064,
|
| 653 |
+
"learning_rate": 3.3018316561319667e-05,
|
| 654 |
+
"loss": 0.0195,
|
| 655 |
+
"step": 910
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.3511450381679389,
|
| 659 |
+
"grad_norm": 0.38370391726493835,
|
| 660 |
+
"learning_rate": 3.281488218209141e-05,
|
| 661 |
+
"loss": 0.0081,
|
| 662 |
+
"step": 920
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.3549618320610687,
|
| 666 |
+
"grad_norm": 1.1995326280593872,
|
| 667 |
+
"learning_rate": 3.260917312271491e-05,
|
| 668 |
+
"loss": 0.0181,
|
| 669 |
+
"step": 930
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.35877862595419846,
|
| 673 |
+
"grad_norm": 0.1598449945449829,
|
| 674 |
+
"learning_rate": 3.2401225897167193e-05,
|
| 675 |
+
"loss": 0.0127,
|
| 676 |
+
"step": 940
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.36259541984732824,
|
| 680 |
+
"grad_norm": 0.15862394869327545,
|
| 681 |
+
"learning_rate": 3.219107741670653e-05,
|
| 682 |
+
"loss": 0.0096,
|
| 683 |
+
"step": 950
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.366412213740458,
|
| 687 |
+
"grad_norm": 0.02166523039340973,
|
| 688 |
+
"learning_rate": 3.1978764983320556e-05,
|
| 689 |
+
"loss": 0.0135,
|
| 690 |
+
"step": 960
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.3702290076335878,
|
| 694 |
+
"grad_norm": 0.05919814854860306,
|
| 695 |
+
"learning_rate": 3.176432628310506e-05,
|
| 696 |
+
"loss": 0.0087,
|
| 697 |
+
"step": 970
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.37404580152671757,
|
| 701 |
+
"grad_norm": 0.11933150142431259,
|
| 702 |
+
"learning_rate": 3.1547799379574593e-05,
|
| 703 |
+
"loss": 0.0048,
|
| 704 |
+
"step": 980
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.37786259541984735,
|
| 708 |
+
"grad_norm": 0.044685620814561844,
|
| 709 |
+
"learning_rate": 3.132922270690607e-05,
|
| 710 |
+
"loss": 0.0121,
|
| 711 |
+
"step": 990
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.3816793893129771,
|
| 715 |
+
"grad_norm": 0.5684109330177307,
|
| 716 |
+
"learning_rate": 3.1108635063116604e-05,
|
| 717 |
+
"loss": 0.0107,
|
| 718 |
+
"step": 1000
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.3816793893129771,
|
| 722 |
+
"eval_loss": 0.03127766400575638,
|
| 723 |
+
"eval_runtime": 140.1532,
|
| 724 |
+
"eval_samples_per_second": 56.952,
|
| 725 |
+
"eval_steps_per_second": 0.3,
|
| 726 |
+
"step": 1000
|
| 727 |
+
}
|
| 728 |
+
],
|
| 729 |
+
"logging_steps": 10,
|
| 730 |
+
"max_steps": 2620,
|
| 731 |
+
"num_input_tokens_seen": 0,
|
| 732 |
+
"num_train_epochs": 1,
|
| 733 |
+
"save_steps": 500,
|
| 734 |
+
"stateful_callbacks": {
|
| 735 |
+
"TrainerControl": {
|
| 736 |
+
"args": {
|
| 737 |
+
"should_epoch_stop": false,
|
| 738 |
+
"should_evaluate": false,
|
| 739 |
+
"should_log": false,
|
| 740 |
+
"should_save": true,
|
| 741 |
+
"should_training_stop": false
|
| 742 |
+
},
|
| 743 |
+
"attributes": {}
|
| 744 |
+
}
|
| 745 |
+
},
|
| 746 |
+
"total_flos": 9.056287130325811e+17,
|
| 747 |
+
"train_batch_size": 192,
|
| 748 |
+
"trial_name": null,
|
| 749 |
+
"trial_params": null
|
| 750 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0182cf2496f9c61bac2077171921d99855cf59d472e5e4213df32617a75ec640
|
| 3 |
+
size 5905
|