Training in progress, epoch 2, checkpoint
Browse files- checkpoint-31138/README.md +202 -0
- checkpoint-31138/adapter_config.json +32 -0
- checkpoint-31138/adapter_model.safetensors +3 -0
- checkpoint-31138/optimizer.pt +3 -0
- checkpoint-31138/rng_state_0.pth +3 -0
- checkpoint-31138/rng_state_1.pth +3 -0
- checkpoint-31138/rng_state_2.pth +3 -0
- checkpoint-31138/rng_state_3.pth +3 -0
- checkpoint-31138/scheduler.pt +3 -0
- checkpoint-31138/trainer_state.json +539 -0
- checkpoint-31138/training_args.bin +3 -0
checkpoint-31138/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: deepseek-ai/deepseek-coder-6.7b-base
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.14.0
|
checkpoint-31138/adapter_config.json
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "deepseek-ai/deepseek-coder-6.7b-base",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"eva_config": null,
|
| 7 |
+
"exclude_modules": null,
|
| 8 |
+
"fan_in_fan_out": false,
|
| 9 |
+
"inference_mode": true,
|
| 10 |
+
"init_lora_weights": true,
|
| 11 |
+
"layer_replication": null,
|
| 12 |
+
"layers_pattern": null,
|
| 13 |
+
"layers_to_transform": null,
|
| 14 |
+
"loftq_config": {},
|
| 15 |
+
"lora_alpha": 32,
|
| 16 |
+
"lora_bias": false,
|
| 17 |
+
"lora_dropout": 0.05,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 8,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"q_proj",
|
| 27 |
+
"v_proj"
|
| 28 |
+
],
|
| 29 |
+
"task_type": "CAUSAL_LM",
|
| 30 |
+
"use_dora": false,
|
| 31 |
+
"use_rslora": false
|
| 32 |
+
}
|
checkpoint-31138/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:59ceb42f81a64091e3f25c1b0164fbb4984fa1fbd9e8a921d8078f37539fed9b
|
| 3 |
+
size 541459256
|
checkpoint-31138/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4c7c5ae502c908486c67c82c9e3ffdcecff80abb73668d1a3cf84b612f78767f
|
| 3 |
+
size 33662074
|
checkpoint-31138/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b0fd03b6b8e7ba8c4e6ee3c59f595f04f3fdbc3ff07d7ce23f2bd2f1cc89063
|
| 3 |
+
size 15024
|
checkpoint-31138/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1e5ffe2f6a9553a7f873b8721c46cb238d6daeb30aec9c7ee03e03d61dd76515
|
| 3 |
+
size 15024
|
checkpoint-31138/rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6ec7a384a2928de7bb84834c832b31a0fc3da15d70fdf922690b1bf4380993e2
|
| 3 |
+
size 15024
|
checkpoint-31138/rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8cb53c5e3f1cbc1aeef8bb2f1c88fc3a809272be427623479d8aa7fc377b0abe
|
| 3 |
+
size 15024
|
checkpoint-31138/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cf80149c76c787b244c44645f9cbd97920e01b2e615f6efb878a34fddc1b7acb
|
| 3 |
+
size 1064
|
checkpoint-31138/trainer_state.json
ADDED
|
@@ -0,0 +1,539 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 2.0,
|
| 5 |
+
"eval_steps": 3114,
|
| 6 |
+
"global_step": 31138,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.03211510052026463,
|
| 13 |
+
"grad_norm": 1.1439628601074219,
|
| 14 |
+
"learning_rate": 0.0003989316376560259,
|
| 15 |
+
"loss": 0.639,
|
| 16 |
+
"step": 500
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.06423020104052926,
|
| 20 |
+
"grad_norm": 1.0822333097457886,
|
| 21 |
+
"learning_rate": 0.00039786327531205173,
|
| 22 |
+
"loss": 0.4284,
|
| 23 |
+
"step": 1000
|
| 24 |
+
},
|
| 25 |
+
{
|
| 26 |
+
"epoch": 0.09634530156079389,
|
| 27 |
+
"grad_norm": 0.8050562143325806,
|
| 28 |
+
"learning_rate": 0.00039679277196137626,
|
| 29 |
+
"loss": 0.3927,
|
| 30 |
+
"step": 1500
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.12846040208105852,
|
| 34 |
+
"grad_norm": 0.669165849685669,
|
| 35 |
+
"learning_rate": 0.00039572440961740214,
|
| 36 |
+
"loss": 0.3689,
|
| 37 |
+
"step": 2000
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.16057550260132314,
|
| 41 |
+
"grad_norm": 1.5822824239730835,
|
| 42 |
+
"learning_rate": 0.0003946539062667266,
|
| 43 |
+
"loss": 0.3504,
|
| 44 |
+
"step": 2500
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.19269060312158778,
|
| 48 |
+
"grad_norm": 0.8457300066947937,
|
| 49 |
+
"learning_rate": 0.00039358340291605114,
|
| 50 |
+
"loss": 0.3446,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.2000128460402081,
|
| 55 |
+
"eval_loss": 0.1640966236591339,
|
| 56 |
+
"eval_runtime": 10.7566,
|
| 57 |
+
"eval_samples_per_second": 46.483,
|
| 58 |
+
"eval_steps_per_second": 5.857,
|
| 59 |
+
"step": 3114
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.2248057036418524,
|
| 63 |
+
"grad_norm": 0.8258726596832275,
|
| 64 |
+
"learning_rate": 0.00039251289956537567,
|
| 65 |
+
"loss": 0.3324,
|
| 66 |
+
"step": 3500
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.25692080416211704,
|
| 70 |
+
"grad_norm": 0.8330244421958923,
|
| 71 |
+
"learning_rate": 0.0003914445372214015,
|
| 72 |
+
"loss": 0.3278,
|
| 73 |
+
"step": 4000
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.28903590468238166,
|
| 77 |
+
"grad_norm": 1.5903249979019165,
|
| 78 |
+
"learning_rate": 0.000390374033870726,
|
| 79 |
+
"loss": 0.3235,
|
| 80 |
+
"step": 4500
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.3211510052026463,
|
| 84 |
+
"grad_norm": 1.216776728630066,
|
| 85 |
+
"learning_rate": 0.00038930353052005055,
|
| 86 |
+
"loss": 0.3113,
|
| 87 |
+
"step": 5000
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.3532661057229109,
|
| 91 |
+
"grad_norm": 0.974801778793335,
|
| 92 |
+
"learning_rate": 0.000388233027169375,
|
| 93 |
+
"loss": 0.309,
|
| 94 |
+
"step": 5500
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.38538120624317557,
|
| 98 |
+
"grad_norm": 0.7021324634552002,
|
| 99 |
+
"learning_rate": 0.00038716252381869955,
|
| 100 |
+
"loss": 0.305,
|
| 101 |
+
"step": 6000
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.4000256920804162,
|
| 105 |
+
"eval_loss": 0.14873231947422028,
|
| 106 |
+
"eval_runtime": 10.7638,
|
| 107 |
+
"eval_samples_per_second": 46.452,
|
| 108 |
+
"eval_steps_per_second": 5.853,
|
| 109 |
+
"step": 6228
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"epoch": 0.4174963067634402,
|
| 113 |
+
"grad_norm": 0.8934990167617798,
|
| 114 |
+
"learning_rate": 0.0003860920204680241,
|
| 115 |
+
"loss": 0.3013,
|
| 116 |
+
"step": 6500
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.4496114072837048,
|
| 120 |
+
"grad_norm": 0.8211339712142944,
|
| 121 |
+
"learning_rate": 0.00038502365812404996,
|
| 122 |
+
"loss": 0.2955,
|
| 123 |
+
"step": 7000
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.4817265078039694,
|
| 127 |
+
"grad_norm": 1.5795360803604126,
|
| 128 |
+
"learning_rate": 0.0003839531547733745,
|
| 129 |
+
"loss": 0.295,
|
| 130 |
+
"step": 7500
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 0.5138416083242341,
|
| 134 |
+
"grad_norm": 0.8220022916793823,
|
| 135 |
+
"learning_rate": 0.000382882651422699,
|
| 136 |
+
"loss": 0.2887,
|
| 137 |
+
"step": 8000
|
| 138 |
+
},
|
| 139 |
+
{
|
| 140 |
+
"epoch": 0.5459567088444987,
|
| 141 |
+
"grad_norm": 0.8150618672370911,
|
| 142 |
+
"learning_rate": 0.00038181428907872484,
|
| 143 |
+
"loss": 0.2883,
|
| 144 |
+
"step": 8500
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"epoch": 0.5780718093647633,
|
| 148 |
+
"grad_norm": 0.782720148563385,
|
| 149 |
+
"learning_rate": 0.00038074378572804937,
|
| 150 |
+
"loss": 0.2848,
|
| 151 |
+
"step": 9000
|
| 152 |
+
},
|
| 153 |
+
{
|
| 154 |
+
"epoch": 0.6000385381206244,
|
| 155 |
+
"eval_loss": 0.1397342085838318,
|
| 156 |
+
"eval_runtime": 10.7618,
|
| 157 |
+
"eval_samples_per_second": 46.461,
|
| 158 |
+
"eval_steps_per_second": 5.854,
|
| 159 |
+
"step": 9342
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.610186909885028,
|
| 163 |
+
"grad_norm": 1.1356905698776245,
|
| 164 |
+
"learning_rate": 0.0003796732823773739,
|
| 165 |
+
"loss": 0.2792,
|
| 166 |
+
"step": 9500
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.6423020104052926,
|
| 170 |
+
"grad_norm": 1.3606605529785156,
|
| 171 |
+
"learning_rate": 0.00037860277902669837,
|
| 172 |
+
"loss": 0.279,
|
| 173 |
+
"step": 10000
|
| 174 |
+
},
|
| 175 |
+
{
|
| 176 |
+
"epoch": 0.6744171109255572,
|
| 177 |
+
"grad_norm": 0.8823058009147644,
|
| 178 |
+
"learning_rate": 0.0003775322756760229,
|
| 179 |
+
"loss": 0.2795,
|
| 180 |
+
"step": 10500
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.7065322114458218,
|
| 184 |
+
"grad_norm": 0.6812245845794678,
|
| 185 |
+
"learning_rate": 0.00037646819534545143,
|
| 186 |
+
"loss": 0.2806,
|
| 187 |
+
"step": 11000
|
| 188 |
+
},
|
| 189 |
+
{
|
| 190 |
+
"epoch": 0.7386473119660865,
|
| 191 |
+
"grad_norm": 0.8636330366134644,
|
| 192 |
+
"learning_rate": 0.00037539769199477596,
|
| 193 |
+
"loss": 0.278,
|
| 194 |
+
"step": 11500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.7707624124863511,
|
| 198 |
+
"grad_norm": 0.7633821368217468,
|
| 199 |
+
"learning_rate": 0.0003743271886441005,
|
| 200 |
+
"loss": 0.2755,
|
| 201 |
+
"step": 12000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.8000513841608324,
|
| 205 |
+
"eval_loss": 0.1333352029323578,
|
| 206 |
+
"eval_runtime": 10.784,
|
| 207 |
+
"eval_samples_per_second": 46.365,
|
| 208 |
+
"eval_steps_per_second": 5.842,
|
| 209 |
+
"step": 12456
|
| 210 |
+
},
|
| 211 |
+
{
|
| 212 |
+
"epoch": 0.8028775130066157,
|
| 213 |
+
"grad_norm": 0.9501471519470215,
|
| 214 |
+
"learning_rate": 0.000373256685293425,
|
| 215 |
+
"loss": 0.2739,
|
| 216 |
+
"step": 12500
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.8349926135268804,
|
| 220 |
+
"grad_norm": 0.6604846119880676,
|
| 221 |
+
"learning_rate": 0.0003721861819427495,
|
| 222 |
+
"loss": 0.2709,
|
| 223 |
+
"step": 13000
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"epoch": 0.8671077140471449,
|
| 227 |
+
"grad_norm": 0.743561863899231,
|
| 228 |
+
"learning_rate": 0.000371115678592074,
|
| 229 |
+
"loss": 0.2679,
|
| 230 |
+
"step": 13500
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.8992228145674096,
|
| 234 |
+
"grad_norm": 0.7072339057922363,
|
| 235 |
+
"learning_rate": 0.00037004517524139854,
|
| 236 |
+
"loss": 0.272,
|
| 237 |
+
"step": 14000
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.9313379150876743,
|
| 241 |
+
"grad_norm": 0.9728062152862549,
|
| 242 |
+
"learning_rate": 0.000368974671890723,
|
| 243 |
+
"loss": 0.2681,
|
| 244 |
+
"step": 14500
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"epoch": 0.9634530156079388,
|
| 248 |
+
"grad_norm": 0.8511360287666321,
|
| 249 |
+
"learning_rate": 0.00036790416854004754,
|
| 250 |
+
"loss": 0.264,
|
| 251 |
+
"step": 15000
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"epoch": 0.9955681161282035,
|
| 255 |
+
"grad_norm": 1.0181396007537842,
|
| 256 |
+
"learning_rate": 0.00036683366518937207,
|
| 257 |
+
"loss": 0.2646,
|
| 258 |
+
"step": 15500
|
| 259 |
+
},
|
| 260 |
+
{
|
| 261 |
+
"epoch": 1.0000642302010405,
|
| 262 |
+
"eval_loss": 0.13280069828033447,
|
| 263 |
+
"eval_runtime": 10.8292,
|
| 264 |
+
"eval_samples_per_second": 46.172,
|
| 265 |
+
"eval_steps_per_second": 5.818,
|
| 266 |
+
"step": 15570
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 1.0276832166484682,
|
| 270 |
+
"grad_norm": 0.8521600365638733,
|
| 271 |
+
"learning_rate": 0.0003657631618386966,
|
| 272 |
+
"loss": 0.2491,
|
| 273 |
+
"step": 16000
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 1.0597983171687329,
|
| 277 |
+
"grad_norm": 0.7927277088165283,
|
| 278 |
+
"learning_rate": 0.00036469265848802107,
|
| 279 |
+
"loss": 0.2486,
|
| 280 |
+
"step": 16500
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"epoch": 1.0919134176889973,
|
| 284 |
+
"grad_norm": 0.9500927329063416,
|
| 285 |
+
"learning_rate": 0.0003636221551373456,
|
| 286 |
+
"loss": 0.2461,
|
| 287 |
+
"step": 17000
|
| 288 |
+
},
|
| 289 |
+
{
|
| 290 |
+
"epoch": 1.124028518209262,
|
| 291 |
+
"grad_norm": 1.1854805946350098,
|
| 292 |
+
"learning_rate": 0.0003625516517866701,
|
| 293 |
+
"loss": 0.2478,
|
| 294 |
+
"step": 17500
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 1.1561436187295266,
|
| 298 |
+
"grad_norm": 1.0004955530166626,
|
| 299 |
+
"learning_rate": 0.0003614811484359946,
|
| 300 |
+
"loss": 0.2485,
|
| 301 |
+
"step": 18000
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"epoch": 1.1882587192497913,
|
| 305 |
+
"grad_norm": 0.7761235237121582,
|
| 306 |
+
"learning_rate": 0.0003604106450853191,
|
| 307 |
+
"loss": 0.2486,
|
| 308 |
+
"step": 18500
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 1.2000770762412487,
|
| 312 |
+
"eval_loss": 0.12181619554758072,
|
| 313 |
+
"eval_runtime": 10.792,
|
| 314 |
+
"eval_samples_per_second": 46.331,
|
| 315 |
+
"eval_steps_per_second": 5.838,
|
| 316 |
+
"step": 18684
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 1.2203738197700558,
|
| 320 |
+
"grad_norm": 1.0295982360839844,
|
| 321 |
+
"learning_rate": 0.00035934014173464365,
|
| 322 |
+
"loss": 0.247,
|
| 323 |
+
"step": 19000
|
| 324 |
+
},
|
| 325 |
+
{
|
| 326 |
+
"epoch": 1.2524889202903204,
|
| 327 |
+
"grad_norm": 1.0462840795516968,
|
| 328 |
+
"learning_rate": 0.0003582717793906695,
|
| 329 |
+
"loss": 0.2451,
|
| 330 |
+
"step": 19500
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 1.2846040208105851,
|
| 334 |
+
"grad_norm": 0.7392880320549011,
|
| 335 |
+
"learning_rate": 0.00035720341704669536,
|
| 336 |
+
"loss": 0.2465,
|
| 337 |
+
"step": 20000
|
| 338 |
+
},
|
| 339 |
+
{
|
| 340 |
+
"epoch": 1.3167191213308498,
|
| 341 |
+
"grad_norm": 0.9569768905639648,
|
| 342 |
+
"learning_rate": 0.0003561329136960199,
|
| 343 |
+
"loss": 0.2451,
|
| 344 |
+
"step": 20500
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 1.3488342218511145,
|
| 348 |
+
"grad_norm": 0.813721239566803,
|
| 349 |
+
"learning_rate": 0.00035506241034534436,
|
| 350 |
+
"loss": 0.2382,
|
| 351 |
+
"step": 21000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 1.3809493223713791,
|
| 355 |
+
"grad_norm": 0.6308742761611938,
|
| 356 |
+
"learning_rate": 0.00035399190699466894,
|
| 357 |
+
"loss": 0.2438,
|
| 358 |
+
"step": 21500
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 1.4000899222814567,
|
| 362 |
+
"eval_loss": 0.12308382242918015,
|
| 363 |
+
"eval_runtime": 10.7957,
|
| 364 |
+
"eval_samples_per_second": 46.315,
|
| 365 |
+
"eval_steps_per_second": 5.836,
|
| 366 |
+
"step": 21798
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.4130644228916436,
|
| 370 |
+
"grad_norm": 1.429039478302002,
|
| 371 |
+
"learning_rate": 0.00035292140364399346,
|
| 372 |
+
"loss": 0.2407,
|
| 373 |
+
"step": 22000
|
| 374 |
+
},
|
| 375 |
+
{
|
| 376 |
+
"epoch": 1.4451795234119083,
|
| 377 |
+
"grad_norm": 0.6953487396240234,
|
| 378 |
+
"learning_rate": 0.00035185090029331794,
|
| 379 |
+
"loss": 0.2423,
|
| 380 |
+
"step": 22500
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.477294623932173,
|
| 384 |
+
"grad_norm": 0.7806856632232666,
|
| 385 |
+
"learning_rate": 0.00035078039694264246,
|
| 386 |
+
"loss": 0.2406,
|
| 387 |
+
"step": 23000
|
| 388 |
+
},
|
| 389 |
+
{
|
| 390 |
+
"epoch": 1.5094097244524374,
|
| 391 |
+
"grad_norm": 1.0611233711242676,
|
| 392 |
+
"learning_rate": 0.00034971203459866835,
|
| 393 |
+
"loss": 0.2389,
|
| 394 |
+
"step": 23500
|
| 395 |
+
},
|
| 396 |
+
{
|
| 397 |
+
"epoch": 1.541524824972702,
|
| 398 |
+
"grad_norm": 1.0411138534545898,
|
| 399 |
+
"learning_rate": 0.0003486415312479928,
|
| 400 |
+
"loss": 0.2405,
|
| 401 |
+
"step": 24000
|
| 402 |
+
},
|
| 403 |
+
{
|
| 404 |
+
"epoch": 1.5736399254929667,
|
| 405 |
+
"grad_norm": 0.906801700592041,
|
| 406 |
+
"learning_rate": 0.00034757102789731735,
|
| 407 |
+
"loss": 0.2413,
|
| 408 |
+
"step": 24500
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.6001027683216649,
|
| 412 |
+
"eval_loss": 0.11771170794963837,
|
| 413 |
+
"eval_runtime": 10.8091,
|
| 414 |
+
"eval_samples_per_second": 46.257,
|
| 415 |
+
"eval_steps_per_second": 5.828,
|
| 416 |
+
"step": 24912
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.6057550260132314,
|
| 420 |
+
"grad_norm": 0.9656944274902344,
|
| 421 |
+
"learning_rate": 0.0003465005245466419,
|
| 422 |
+
"loss": 0.2423,
|
| 423 |
+
"step": 25000
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 1.637870126533496,
|
| 427 |
+
"grad_norm": 1.330808162689209,
|
| 428 |
+
"learning_rate": 0.00034543002119596635,
|
| 429 |
+
"loss": 0.2422,
|
| 430 |
+
"step": 25500
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 1.6699852270537607,
|
| 434 |
+
"grad_norm": 0.8894997835159302,
|
| 435 |
+
"learning_rate": 0.0003443637998586936,
|
| 436 |
+
"loss": 0.2338,
|
| 437 |
+
"step": 26000
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 1.7021003275740254,
|
| 441 |
+
"grad_norm": 1.0210765600204468,
|
| 442 |
+
"learning_rate": 0.0003432932965080181,
|
| 443 |
+
"loss": 0.2368,
|
| 444 |
+
"step": 26500
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.73421542809429,
|
| 448 |
+
"grad_norm": 1.0259859561920166,
|
| 449 |
+
"learning_rate": 0.0003422227931573426,
|
| 450 |
+
"loss": 0.2365,
|
| 451 |
+
"step": 27000
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 1.7663305286145545,
|
| 455 |
+
"grad_norm": 0.8963735103607178,
|
| 456 |
+
"learning_rate": 0.0003411522898066671,
|
| 457 |
+
"loss": 0.2332,
|
| 458 |
+
"step": 27500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.7984456291348192,
|
| 462 |
+
"grad_norm": 0.9903491735458374,
|
| 463 |
+
"learning_rate": 0.00034008178645599164,
|
| 464 |
+
"loss": 0.2375,
|
| 465 |
+
"step": 28000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.8001156143618728,
|
| 469 |
+
"eval_loss": 0.11729346960783005,
|
| 470 |
+
"eval_runtime": 10.8087,
|
| 471 |
+
"eval_samples_per_second": 46.259,
|
| 472 |
+
"eval_steps_per_second": 5.829,
|
| 473 |
+
"step": 28026
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 1.8305607296550839,
|
| 477 |
+
"grad_norm": 0.7195676565170288,
|
| 478 |
+
"learning_rate": 0.0003390112831053161,
|
| 479 |
+
"loss": 0.2394,
|
| 480 |
+
"step": 28500
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.8626758301753483,
|
| 484 |
+
"grad_norm": 0.9430277943611145,
|
| 485 |
+
"learning_rate": 0.00033794077975464064,
|
| 486 |
+
"loss": 0.2336,
|
| 487 |
+
"step": 29000
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 1.894790930695613,
|
| 491 |
+
"grad_norm": 1.1380141973495483,
|
| 492 |
+
"learning_rate": 0.00033687027640396516,
|
| 493 |
+
"loss": 0.2371,
|
| 494 |
+
"step": 29500
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 1.9269060312158777,
|
| 498 |
+
"grad_norm": 0.7525237202644348,
|
| 499 |
+
"learning_rate": 0.0003357997730532897,
|
| 500 |
+
"loss": 0.2337,
|
| 501 |
+
"step": 30000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.9590211317361423,
|
| 505 |
+
"grad_norm": 0.90290766954422,
|
| 506 |
+
"learning_rate": 0.00033472926970261416,
|
| 507 |
+
"loss": 0.2327,
|
| 508 |
+
"step": 30500
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 1.991136232256407,
|
| 512 |
+
"grad_norm": 0.8463317155838013,
|
| 513 |
+
"learning_rate": 0.00033366090735864005,
|
| 514 |
+
"loss": 0.2326,
|
| 515 |
+
"step": 31000
|
| 516 |
+
}
|
| 517 |
+
],
|
| 518 |
+
"logging_steps": 500,
|
| 519 |
+
"max_steps": 186828,
|
| 520 |
+
"num_input_tokens_seen": 0,
|
| 521 |
+
"num_train_epochs": 12,
|
| 522 |
+
"save_steps": 500,
|
| 523 |
+
"stateful_callbacks": {
|
| 524 |
+
"TrainerControl": {
|
| 525 |
+
"args": {
|
| 526 |
+
"should_epoch_stop": false,
|
| 527 |
+
"should_evaluate": false,
|
| 528 |
+
"should_log": false,
|
| 529 |
+
"should_save": true,
|
| 530 |
+
"should_training_stop": false
|
| 531 |
+
},
|
| 532 |
+
"attributes": {}
|
| 533 |
+
}
|
| 534 |
+
},
|
| 535 |
+
"total_flos": 1.0900854329866977e+19,
|
| 536 |
+
"train_batch_size": 2,
|
| 537 |
+
"trial_name": null,
|
| 538 |
+
"trial_params": null
|
| 539 |
+
}
|
checkpoint-31138/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:18770cad77c61ad23c96d1c614b30fa0afc45e40d6ebf88c6c6e22257f3e29c0
|
| 3 |
+
size 5496
|