Upload full trainer checkpoint step=366 (profile=llama3_1_8b_base_lessdata, run_type=sft)
Browse files- .gitattributes +1 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/README.md +210 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/adapter_config.json +50 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/adapter_model.safetensors +3 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/chat_template.jinja +12 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/optimizer.pt +3 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/rng_state.pth +3 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/scheduler.pt +3 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/tokenizer.json +3 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/tokenizer_config.json +18 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/trainer_state.json +561 -0
- meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/training_args.bin +3 -0
- meta-llama__meta-llama-3.1-8b/sft/run_manifest.json +14 -93
.gitattributes
CHANGED
|
@@ -148,3 +148,4 @@ meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23460/tokenizer.json fi
|
|
| 148 |
meta-llama__meta-llama-3.1-8b/sft/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 149 |
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-1013/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 150 |
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 148 |
meta-llama__meta-llama-3.1-8b/sft/epoch_0004/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 149 |
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-1013/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 150 |
meta-llama__meta-llama-3.1-8b/grpo/checkpoints/checkpoint-2026/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 151 |
+
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/Meta-Llama-3.1-8B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/Meta-Llama-3.1-8B
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
- unsloth
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Model Card for Model ID
|
| 15 |
+
|
| 16 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
## Model Details
|
| 21 |
+
|
| 22 |
+
### Model Description
|
| 23 |
+
|
| 24 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
|
| 28 |
+
- **Developed by:** [More Information Needed]
|
| 29 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 30 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 31 |
+
- **Model type:** [More Information Needed]
|
| 32 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 33 |
+
- **License:** [More Information Needed]
|
| 34 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
### Model Sources [optional]
|
| 37 |
+
|
| 38 |
+
<!-- Provide the basic links for the model. -->
|
| 39 |
+
|
| 40 |
+
- **Repository:** [More Information Needed]
|
| 41 |
+
- **Paper [optional]:** [More Information Needed]
|
| 42 |
+
- **Demo [optional]:** [More Information Needed]
|
| 43 |
+
|
| 44 |
+
## Uses
|
| 45 |
+
|
| 46 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 47 |
+
|
| 48 |
+
### Direct Use
|
| 49 |
+
|
| 50 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 51 |
+
|
| 52 |
+
[More Information Needed]
|
| 53 |
+
|
| 54 |
+
### Downstream Use [optional]
|
| 55 |
+
|
| 56 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 57 |
+
|
| 58 |
+
[More Information Needed]
|
| 59 |
+
|
| 60 |
+
### Out-of-Scope Use
|
| 61 |
+
|
| 62 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 63 |
+
|
| 64 |
+
[More Information Needed]
|
| 65 |
+
|
| 66 |
+
## Bias, Risks, and Limitations
|
| 67 |
+
|
| 68 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 69 |
+
|
| 70 |
+
[More Information Needed]
|
| 71 |
+
|
| 72 |
+
### Recommendations
|
| 73 |
+
|
| 74 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 75 |
+
|
| 76 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 77 |
+
|
| 78 |
+
## How to Get Started with the Model
|
| 79 |
+
|
| 80 |
+
Use the code below to get started with the model.
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
## Training Details
|
| 85 |
+
|
| 86 |
+
### Training Data
|
| 87 |
+
|
| 88 |
+
<!-- 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. -->
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
### Training Procedure
|
| 93 |
+
|
| 94 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 95 |
+
|
| 96 |
+
#### Preprocessing [optional]
|
| 97 |
+
|
| 98 |
+
[More Information Needed]
|
| 99 |
+
|
| 100 |
+
|
| 101 |
+
#### Training Hyperparameters
|
| 102 |
+
|
| 103 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 104 |
+
|
| 105 |
+
#### Speeds, Sizes, Times [optional]
|
| 106 |
+
|
| 107 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 108 |
+
|
| 109 |
+
[More Information Needed]
|
| 110 |
+
|
| 111 |
+
## Evaluation
|
| 112 |
+
|
| 113 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 114 |
+
|
| 115 |
+
### Testing Data, Factors & Metrics
|
| 116 |
+
|
| 117 |
+
#### Testing Data
|
| 118 |
+
|
| 119 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 120 |
+
|
| 121 |
+
[More Information Needed]
|
| 122 |
+
|
| 123 |
+
#### Factors
|
| 124 |
+
|
| 125 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 126 |
+
|
| 127 |
+
[More Information Needed]
|
| 128 |
+
|
| 129 |
+
#### Metrics
|
| 130 |
+
|
| 131 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 132 |
+
|
| 133 |
+
[More Information Needed]
|
| 134 |
+
|
| 135 |
+
### Results
|
| 136 |
+
|
| 137 |
+
[More Information Needed]
|
| 138 |
+
|
| 139 |
+
#### Summary
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
|
| 143 |
+
## Model Examination [optional]
|
| 144 |
+
|
| 145 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 146 |
+
|
| 147 |
+
[More Information Needed]
|
| 148 |
+
|
| 149 |
+
## Environmental Impact
|
| 150 |
+
|
| 151 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 152 |
+
|
| 153 |
+
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).
|
| 154 |
+
|
| 155 |
+
- **Hardware Type:** [More Information Needed]
|
| 156 |
+
- **Hours used:** [More Information Needed]
|
| 157 |
+
- **Cloud Provider:** [More Information Needed]
|
| 158 |
+
- **Compute Region:** [More Information Needed]
|
| 159 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 160 |
+
|
| 161 |
+
## Technical Specifications [optional]
|
| 162 |
+
|
| 163 |
+
### Model Architecture and Objective
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
### Compute Infrastructure
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
#### Hardware
|
| 172 |
+
|
| 173 |
+
[More Information Needed]
|
| 174 |
+
|
| 175 |
+
#### Software
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
## Citation [optional]
|
| 180 |
+
|
| 181 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 182 |
+
|
| 183 |
+
**BibTeX:**
|
| 184 |
+
|
| 185 |
+
[More Information Needed]
|
| 186 |
+
|
| 187 |
+
**APA:**
|
| 188 |
+
|
| 189 |
+
[More Information Needed]
|
| 190 |
+
|
| 191 |
+
## Glossary [optional]
|
| 192 |
+
|
| 193 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## More Information [optional]
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
|
| 201 |
+
## Model Card Authors [optional]
|
| 202 |
+
|
| 203 |
+
[More Information Needed]
|
| 204 |
+
|
| 205 |
+
## Model Card Contact
|
| 206 |
+
|
| 207 |
+
[More Information Needed]
|
| 208 |
+
### Framework versions
|
| 209 |
+
|
| 210 |
+
- PEFT 0.18.1
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/adapter_config.json
ADDED
|
@@ -0,0 +1,50 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": {
|
| 6 |
+
"base_model_class": "LlamaForCausalLM",
|
| 7 |
+
"parent_library": "transformers.models.llama.modeling_llama",
|
| 8 |
+
"unsloth_fixed": true
|
| 9 |
+
},
|
| 10 |
+
"base_model_name_or_path": "unsloth/Meta-Llama-3.1-8B",
|
| 11 |
+
"bias": "none",
|
| 12 |
+
"corda_config": null,
|
| 13 |
+
"ensure_weight_tying": false,
|
| 14 |
+
"eva_config": null,
|
| 15 |
+
"exclude_modules": null,
|
| 16 |
+
"fan_in_fan_out": false,
|
| 17 |
+
"inference_mode": true,
|
| 18 |
+
"init_lora_weights": true,
|
| 19 |
+
"layer_replication": null,
|
| 20 |
+
"layers_pattern": null,
|
| 21 |
+
"layers_to_transform": null,
|
| 22 |
+
"loftq_config": {},
|
| 23 |
+
"lora_alpha": 16,
|
| 24 |
+
"lora_bias": false,
|
| 25 |
+
"lora_dropout": 0.0,
|
| 26 |
+
"megatron_config": null,
|
| 27 |
+
"megatron_core": "megatron.core",
|
| 28 |
+
"modules_to_save": null,
|
| 29 |
+
"peft_type": "LORA",
|
| 30 |
+
"peft_version": "0.18.1",
|
| 31 |
+
"qalora_group_size": 16,
|
| 32 |
+
"r": 8,
|
| 33 |
+
"rank_pattern": {},
|
| 34 |
+
"revision": null,
|
| 35 |
+
"target_modules": [
|
| 36 |
+
"q_proj",
|
| 37 |
+
"k_proj",
|
| 38 |
+
"up_proj",
|
| 39 |
+
"gate_proj",
|
| 40 |
+
"down_proj",
|
| 41 |
+
"o_proj",
|
| 42 |
+
"v_proj"
|
| 43 |
+
],
|
| 44 |
+
"target_parameters": null,
|
| 45 |
+
"task_type": "CAUSAL_LM",
|
| 46 |
+
"trainable_token_indices": null,
|
| 47 |
+
"use_dora": false,
|
| 48 |
+
"use_qalora": false,
|
| 49 |
+
"use_rslora": false
|
| 50 |
+
}
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6c9911f65f699f709137449b7fd67dc4169e85312261cb1399120c30d43c385a
|
| 3 |
+
size 83945296
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/chat_template.jinja
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ messages[0]['content'] + '
|
| 2 |
+
|
| 3 |
+
' }}{% set loop_messages = messages[1:] %}{% else %}{{ '' + '
|
| 4 |
+
|
| 5 |
+
' }}{% set loop_messages = messages %}{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}{{ '### Instruction:
|
| 6 |
+
' + message['content'] + '
|
| 7 |
+
|
| 8 |
+
' }}{% elif message['role'] == 'assistant' %}{{ '### Response:
|
| 9 |
+
' + message['content'] + eos_token + '
|
| 10 |
+
|
| 11 |
+
' }}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '### Response:
|
| 12 |
+
' }}{% endif %}
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b05cd08b59bd0bc6fa85d84799234d7565c94ef200529e156539f4df4ff5812a
|
| 3 |
+
size 43127973
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9ccb8eeb935749fc43744e0a5eeacdf6f0f10253be15266a497cbca0ffaa2573
|
| 3 |
+
size 14645
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e6f3cf2c5fd59db6240cf83ae7ce4eb18e62c53f5ee17beab20e8a15a21a4746
|
| 3 |
+
size 1465
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6b9e4e7fb171f92fd137b777cc2714bf87d11576700a1dcd7a399e7bbe39537b
|
| 3 |
+
size 17209920
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/tokenizer_config.json
ADDED
|
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"backend": "tokenizers",
|
| 3 |
+
"bos_token": "<|begin_of_text|>",
|
| 4 |
+
"clean_up_tokenization_spaces": true,
|
| 5 |
+
"eos_token": "<|end_of_text|>",
|
| 6 |
+
"from_slow": true,
|
| 7 |
+
"is_local": false,
|
| 8 |
+
"legacy": false,
|
| 9 |
+
"model_input_names": [
|
| 10 |
+
"input_ids",
|
| 11 |
+
"attention_mask"
|
| 12 |
+
],
|
| 13 |
+
"model_max_length": 131072,
|
| 14 |
+
"pad_token": "<|finetune_right_pad_id|>",
|
| 15 |
+
"padding_side": "right",
|
| 16 |
+
"tokenizer_class": "TokenizersBackend",
|
| 17 |
+
"unk_token": null
|
| 18 |
+
}
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/trainer_state.json
ADDED
|
@@ -0,0 +1,561 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.24965893587994542,
|
| 6 |
+
"eval_steps": 366,
|
| 7 |
+
"global_step": 366,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.0034106412005457027,
|
| 14 |
+
"grad_norm": 3.1571648120880127,
|
| 15 |
+
"learning_rate": 2.542372881355932e-06,
|
| 16 |
+
"loss": 1.6981744766235352,
|
| 17 |
+
"step": 5
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.0068212824010914054,
|
| 21 |
+
"grad_norm": 9.80073070526123,
|
| 22 |
+
"learning_rate": 5.720338983050847e-06,
|
| 23 |
+
"loss": 1.5801130294799806,
|
| 24 |
+
"step": 10
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.010231923601637109,
|
| 28 |
+
"grad_norm": 4.481558799743652,
|
| 29 |
+
"learning_rate": 8.898305084745763e-06,
|
| 30 |
+
"loss": 2.1718717575073243,
|
| 31 |
+
"step": 15
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.013642564802182811,
|
| 35 |
+
"grad_norm": 7.221553802490234,
|
| 36 |
+
"learning_rate": 1.2076271186440677e-05,
|
| 37 |
+
"loss": 1.5270480155944823,
|
| 38 |
+
"step": 20
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.017053206002728513,
|
| 42 |
+
"grad_norm": 5.330269813537598,
|
| 43 |
+
"learning_rate": 1.5254237288135592e-05,
|
| 44 |
+
"loss": 0.9586630821228027,
|
| 45 |
+
"step": 25
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.020463847203274217,
|
| 49 |
+
"grad_norm": 1.7404323816299438,
|
| 50 |
+
"learning_rate": 1.8432203389830506e-05,
|
| 51 |
+
"loss": 0.48505802154541017,
|
| 52 |
+
"step": 30
|
| 53 |
+
},
|
| 54 |
+
{
|
| 55 |
+
"epoch": 0.023874488403819918,
|
| 56 |
+
"grad_norm": 1.2418887615203857,
|
| 57 |
+
"learning_rate": 2.1610169491525424e-05,
|
| 58 |
+
"loss": 0.24452033042907714,
|
| 59 |
+
"step": 35
|
| 60 |
+
},
|
| 61 |
+
{
|
| 62 |
+
"epoch": 0.027285129604365622,
|
| 63 |
+
"grad_norm": 1.5928819179534912,
|
| 64 |
+
"learning_rate": 2.4788135593220338e-05,
|
| 65 |
+
"loss": 0.25337533950805663,
|
| 66 |
+
"step": 40
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.030695770804911322,
|
| 70 |
+
"grad_norm": 2.0335769653320312,
|
| 71 |
+
"learning_rate": 2.796610169491525e-05,
|
| 72 |
+
"loss": 0.1938886046409607,
|
| 73 |
+
"step": 45
|
| 74 |
+
},
|
| 75 |
+
{
|
| 76 |
+
"epoch": 0.034106412005457026,
|
| 77 |
+
"grad_norm": 0.18029411137104034,
|
| 78 |
+
"learning_rate": 3.114406779661017e-05,
|
| 79 |
+
"loss": 0.1834133505821228,
|
| 80 |
+
"step": 50
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.03751705320600273,
|
| 84 |
+
"grad_norm": 1.7757192850112915,
|
| 85 |
+
"learning_rate": 3.432203389830508e-05,
|
| 86 |
+
"loss": 0.15151114463806153,
|
| 87 |
+
"step": 55
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.040927694406548434,
|
| 91 |
+
"grad_norm": 2.1376893520355225,
|
| 92 |
+
"learning_rate": 3.75e-05,
|
| 93 |
+
"loss": 0.21634674072265625,
|
| 94 |
+
"step": 60
|
| 95 |
+
},
|
| 96 |
+
{
|
| 97 |
+
"epoch": 0.04433833560709413,
|
| 98 |
+
"grad_norm": 2.196387767791748,
|
| 99 |
+
"learning_rate": 4.067796610169491e-05,
|
| 100 |
+
"loss": 0.11320395469665527,
|
| 101 |
+
"step": 65
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.047748976807639835,
|
| 105 |
+
"grad_norm": 1.5888807773590088,
|
| 106 |
+
"learning_rate": 4.3855932203389825e-05,
|
| 107 |
+
"loss": 0.11050152778625488,
|
| 108 |
+
"step": 70
|
| 109 |
+
},
|
| 110 |
+
{
|
| 111 |
+
"epoch": 0.05115961800818554,
|
| 112 |
+
"grad_norm": 4.606944561004639,
|
| 113 |
+
"learning_rate": 4.703389830508474e-05,
|
| 114 |
+
"loss": 0.23255281448364257,
|
| 115 |
+
"step": 75
|
| 116 |
+
},
|
| 117 |
+
{
|
| 118 |
+
"epoch": 0.054570259208731244,
|
| 119 |
+
"grad_norm": 1.7308639287948608,
|
| 120 |
+
"learning_rate": 5.021186440677966e-05,
|
| 121 |
+
"loss": 0.08995866179466247,
|
| 122 |
+
"step": 80
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.05798090040927694,
|
| 126 |
+
"grad_norm": 2.622438430786133,
|
| 127 |
+
"learning_rate": 5.338983050847457e-05,
|
| 128 |
+
"loss": 0.05715223550796509,
|
| 129 |
+
"step": 85
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.061391541609822645,
|
| 133 |
+
"grad_norm": 0.34140461683273315,
|
| 134 |
+
"learning_rate": 5.656779661016949e-05,
|
| 135 |
+
"loss": 0.06703727245330811,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.06480218281036836,
|
| 140 |
+
"grad_norm": 2.7264959812164307,
|
| 141 |
+
"learning_rate": 5.97457627118644e-05,
|
| 142 |
+
"loss": 0.10092716217041016,
|
| 143 |
+
"step": 95
|
| 144 |
+
},
|
| 145 |
+
{
|
| 146 |
+
"epoch": 0.06821282401091405,
|
| 147 |
+
"grad_norm": 2.0234780311584473,
|
| 148 |
+
"learning_rate": 6.292372881355932e-05,
|
| 149 |
+
"loss": 0.03579937815666199,
|
| 150 |
+
"step": 100
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.07162346521145975,
|
| 154 |
+
"grad_norm": 1.3716133832931519,
|
| 155 |
+
"learning_rate": 6.610169491525423e-05,
|
| 156 |
+
"loss": 0.07851418852806091,
|
| 157 |
+
"step": 105
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"epoch": 0.07503410641200546,
|
| 161 |
+
"grad_norm": 1.2307227849960327,
|
| 162 |
+
"learning_rate": 6.927966101694914e-05,
|
| 163 |
+
"loss": 0.07370938658714295,
|
| 164 |
+
"step": 110
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.07844474761255116,
|
| 168 |
+
"grad_norm": 1.7142690420150757,
|
| 169 |
+
"learning_rate": 7.245762711864406e-05,
|
| 170 |
+
"loss": 0.08064572811126709,
|
| 171 |
+
"step": 115
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.08185538881309687,
|
| 175 |
+
"grad_norm": 1.343595266342163,
|
| 176 |
+
"learning_rate": 7.499999439507554e-05,
|
| 177 |
+
"loss": 0.11841402053833008,
|
| 178 |
+
"step": 120
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"epoch": 0.08526603001364257,
|
| 182 |
+
"grad_norm": 1.2511327266693115,
|
| 183 |
+
"learning_rate": 7.499979822289558e-05,
|
| 184 |
+
"loss": 0.06974860429763793,
|
| 185 |
+
"step": 125
|
| 186 |
+
},
|
| 187 |
+
{
|
| 188 |
+
"epoch": 0.08867667121418826,
|
| 189 |
+
"grad_norm": 1.5642656087875366,
|
| 190 |
+
"learning_rate": 7.49993218061684e-05,
|
| 191 |
+
"loss": 0.10972714424133301,
|
| 192 |
+
"step": 130
|
| 193 |
+
},
|
| 194 |
+
{
|
| 195 |
+
"epoch": 0.09208731241473397,
|
| 196 |
+
"grad_norm": 1.6669789552688599,
|
| 197 |
+
"learning_rate": 7.499856514845436e-05,
|
| 198 |
+
"loss": 0.09864612817764282,
|
| 199 |
+
"step": 135
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"epoch": 0.09549795361527967,
|
| 203 |
+
"grad_norm": 0.9789333343505859,
|
| 204 |
+
"learning_rate": 7.499752825540815e-05,
|
| 205 |
+
"loss": 0.0699621558189392,
|
| 206 |
+
"step": 140
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.09890859481582538,
|
| 210 |
+
"grad_norm": 0.41792476177215576,
|
| 211 |
+
"learning_rate": 7.499621113477873e-05,
|
| 212 |
+
"loss": 0.06734349727630615,
|
| 213 |
+
"step": 145
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.10231923601637108,
|
| 217 |
+
"grad_norm": 1.5968533754348755,
|
| 218 |
+
"learning_rate": 7.499461379640919e-05,
|
| 219 |
+
"loss": 0.060729533433914185,
|
| 220 |
+
"step": 150
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.10572987721691678,
|
| 224 |
+
"grad_norm": 0.8512193560600281,
|
| 225 |
+
"learning_rate": 7.499273625223683e-05,
|
| 226 |
+
"loss": 0.052730172872543335,
|
| 227 |
+
"step": 155
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"epoch": 0.10914051841746249,
|
| 231 |
+
"grad_norm": 1.3257211446762085,
|
| 232 |
+
"learning_rate": 7.499057851629299e-05,
|
| 233 |
+
"loss": 0.10094538927078248,
|
| 234 |
+
"step": 160
|
| 235 |
+
},
|
| 236 |
+
{
|
| 237 |
+
"epoch": 0.11255115961800818,
|
| 238 |
+
"grad_norm": 0.659118115901947,
|
| 239 |
+
"learning_rate": 7.498814060470288e-05,
|
| 240 |
+
"loss": 0.01604635864496231,
|
| 241 |
+
"step": 165
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.11596180081855388,
|
| 245 |
+
"grad_norm": 2.454979181289673,
|
| 246 |
+
"learning_rate": 7.49854225356856e-05,
|
| 247 |
+
"loss": 0.13272385597229003,
|
| 248 |
+
"step": 170
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.11937244201909959,
|
| 252 |
+
"grad_norm": 2.510040521621704,
|
| 253 |
+
"learning_rate": 7.498242432955388e-05,
|
| 254 |
+
"loss": 0.08396227955818177,
|
| 255 |
+
"step": 175
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.12278308321964529,
|
| 259 |
+
"grad_norm": 0.2637259364128113,
|
| 260 |
+
"learning_rate": 7.4979146008714e-05,
|
| 261 |
+
"loss": 0.05852065086364746,
|
| 262 |
+
"step": 180
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 0.126193724420191,
|
| 266 |
+
"grad_norm": 1.4320851564407349,
|
| 267 |
+
"learning_rate": 7.497558759766564e-05,
|
| 268 |
+
"loss": 0.10392802953720093,
|
| 269 |
+
"step": 185
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"epoch": 0.1296043656207367,
|
| 273 |
+
"grad_norm": 1.273027777671814,
|
| 274 |
+
"learning_rate": 7.497174912300156e-05,
|
| 275 |
+
"loss": 0.08062989711761474,
|
| 276 |
+
"step": 190
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.1330150068212824,
|
| 280 |
+
"grad_norm": 0.8102871179580688,
|
| 281 |
+
"learning_rate": 7.496763061340759e-05,
|
| 282 |
+
"loss": 0.07294153571128845,
|
| 283 |
+
"step": 195
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"epoch": 0.1364256480218281,
|
| 287 |
+
"grad_norm": 1.951328992843628,
|
| 288 |
+
"learning_rate": 7.496323209966228e-05,
|
| 289 |
+
"loss": 0.07738351821899414,
|
| 290 |
+
"step": 200
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.13983628922237382,
|
| 294 |
+
"grad_norm": 0.3880983889102936,
|
| 295 |
+
"learning_rate": 7.495855361463674e-05,
|
| 296 |
+
"loss": 0.07225048542022705,
|
| 297 |
+
"step": 205
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.1432469304229195,
|
| 301 |
+
"grad_norm": 3.3205058574676514,
|
| 302 |
+
"learning_rate": 7.495359519329433e-05,
|
| 303 |
+
"loss": 0.05682974457740784,
|
| 304 |
+
"step": 210
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"epoch": 0.1466575716234652,
|
| 308 |
+
"grad_norm": 0.9203559160232544,
|
| 309 |
+
"learning_rate": 7.49483568726905e-05,
|
| 310 |
+
"loss": 0.08767472505569458,
|
| 311 |
+
"step": 215
|
| 312 |
+
},
|
| 313 |
+
{
|
| 314 |
+
"epoch": 0.15006821282401092,
|
| 315 |
+
"grad_norm": 0.585360586643219,
|
| 316 |
+
"learning_rate": 7.494283869197239e-05,
|
| 317 |
+
"loss": 0.039227068424224854,
|
| 318 |
+
"step": 220
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 0.1534788540245566,
|
| 322 |
+
"grad_norm": 1.7096059322357178,
|
| 323 |
+
"learning_rate": 7.493704069237862e-05,
|
| 324 |
+
"loss": 0.10281096696853638,
|
| 325 |
+
"step": 225
|
| 326 |
+
},
|
| 327 |
+
{
|
| 328 |
+
"epoch": 0.15688949522510232,
|
| 329 |
+
"grad_norm": 0.4110204875469208,
|
| 330 |
+
"learning_rate": 7.493096291723898e-05,
|
| 331 |
+
"loss": 0.04346161186695099,
|
| 332 |
+
"step": 230
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.16030013642564803,
|
| 336 |
+
"grad_norm": 1.3272292613983154,
|
| 337 |
+
"learning_rate": 7.492460541197404e-05,
|
| 338 |
+
"loss": 0.049719154834747314,
|
| 339 |
+
"step": 235
|
| 340 |
+
},
|
| 341 |
+
{
|
| 342 |
+
"epoch": 0.16371077762619374,
|
| 343 |
+
"grad_norm": 1.1005016565322876,
|
| 344 |
+
"learning_rate": 7.491796822409494e-05,
|
| 345 |
+
"loss": 0.09335108399391175,
|
| 346 |
+
"step": 240
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.16712141882673942,
|
| 350 |
+
"grad_norm": 0.7811501026153564,
|
| 351 |
+
"learning_rate": 7.491105140320285e-05,
|
| 352 |
+
"loss": 0.05943926572799683,
|
| 353 |
+
"step": 245
|
| 354 |
+
},
|
| 355 |
+
{
|
| 356 |
+
"epoch": 0.17053206002728513,
|
| 357 |
+
"grad_norm": 1.4607417583465576,
|
| 358 |
+
"learning_rate": 7.490385500098879e-05,
|
| 359 |
+
"loss": 0.04385361075401306,
|
| 360 |
+
"step": 250
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.17394270122783084,
|
| 364 |
+
"grad_norm": 0.394960880279541,
|
| 365 |
+
"learning_rate": 7.489637907123308e-05,
|
| 366 |
+
"loss": 0.04446137547492981,
|
| 367 |
+
"step": 255
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.17735334242837653,
|
| 371 |
+
"grad_norm": 0.8768635988235474,
|
| 372 |
+
"learning_rate": 7.488862366980505e-05,
|
| 373 |
+
"loss": 0.04143576025962829,
|
| 374 |
+
"step": 260
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.18076398362892224,
|
| 378 |
+
"grad_norm": 1.9996010065078735,
|
| 379 |
+
"learning_rate": 7.488058885466262e-05,
|
| 380 |
+
"loss": 0.07952215671539306,
|
| 381 |
+
"step": 265
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 0.18417462482946795,
|
| 385 |
+
"grad_norm": 0.03770223259925842,
|
| 386 |
+
"learning_rate": 7.487227468585178e-05,
|
| 387 |
+
"loss": 0.02531362771987915,
|
| 388 |
+
"step": 270
|
| 389 |
+
},
|
| 390 |
+
{
|
| 391 |
+
"epoch": 0.18758526603001363,
|
| 392 |
+
"grad_norm": 0.26082542538642883,
|
| 393 |
+
"learning_rate": 7.486368122550619e-05,
|
| 394 |
+
"loss": 0.09930967688560485,
|
| 395 |
+
"step": 275
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.19099590723055934,
|
| 399 |
+
"grad_norm": 5.622270584106445,
|
| 400 |
+
"learning_rate": 7.485480853784677e-05,
|
| 401 |
+
"loss": 0.06534865498542786,
|
| 402 |
+
"step": 280
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 0.19440654843110505,
|
| 406 |
+
"grad_norm": 0.5298851132392883,
|
| 407 |
+
"learning_rate": 7.484565668918111e-05,
|
| 408 |
+
"loss": 0.06109699010848999,
|
| 409 |
+
"step": 285
|
| 410 |
+
},
|
| 411 |
+
{
|
| 412 |
+
"epoch": 0.19781718963165076,
|
| 413 |
+
"grad_norm": 1.4887421131134033,
|
| 414 |
+
"learning_rate": 7.483622574790308e-05,
|
| 415 |
+
"loss": 0.048966211080551145,
|
| 416 |
+
"step": 290
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.20122783083219645,
|
| 420 |
+
"grad_norm": 0.5699282884597778,
|
| 421 |
+
"learning_rate": 7.482651578449223e-05,
|
| 422 |
+
"loss": 0.05427658557891846,
|
| 423 |
+
"step": 295
|
| 424 |
+
},
|
| 425 |
+
{
|
| 426 |
+
"epoch": 0.20463847203274216,
|
| 427 |
+
"grad_norm": 1.6645292043685913,
|
| 428 |
+
"learning_rate": 7.481652687151339e-05,
|
| 429 |
+
"loss": 0.037466832995414735,
|
| 430 |
+
"step": 300
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"epoch": 0.20804911323328787,
|
| 434 |
+
"grad_norm": 0.4979431629180908,
|
| 435 |
+
"learning_rate": 7.480625908361593e-05,
|
| 436 |
+
"loss": 0.019084173440933227,
|
| 437 |
+
"step": 305
|
| 438 |
+
},
|
| 439 |
+
{
|
| 440 |
+
"epoch": 0.21145975443383355,
|
| 441 |
+
"grad_norm": 2.73081636428833,
|
| 442 |
+
"learning_rate": 7.479571249753339e-05,
|
| 443 |
+
"loss": 0.07597044706344605,
|
| 444 |
+
"step": 310
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 0.21487039563437926,
|
| 448 |
+
"grad_norm": 0.009097559377551079,
|
| 449 |
+
"learning_rate": 7.478488719208281e-05,
|
| 450 |
+
"loss": 0.017771795392036438,
|
| 451 |
+
"step": 315
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"epoch": 0.21828103683492497,
|
| 455 |
+
"grad_norm": 1.5284112691879272,
|
| 456 |
+
"learning_rate": 7.477378324816419e-05,
|
| 457 |
+
"loss": 0.07524526119232178,
|
| 458 |
+
"step": 320
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 0.22169167803547066,
|
| 462 |
+
"grad_norm": 1.400959849357605,
|
| 463 |
+
"learning_rate": 7.47624007487598e-05,
|
| 464 |
+
"loss": 0.0357323557138443,
|
| 465 |
+
"step": 325
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 0.22510231923601637,
|
| 469 |
+
"grad_norm": 0.5988397598266602,
|
| 470 |
+
"learning_rate": 7.47507397789337e-05,
|
| 471 |
+
"loss": 0.06072888970375061,
|
| 472 |
+
"step": 330
|
| 473 |
+
},
|
| 474 |
+
{
|
| 475 |
+
"epoch": 0.22851296043656208,
|
| 476 |
+
"grad_norm": 0.18309183418750763,
|
| 477 |
+
"learning_rate": 7.473880042583092e-05,
|
| 478 |
+
"loss": 0.03904334008693695,
|
| 479 |
+
"step": 335
|
| 480 |
+
},
|
| 481 |
+
{
|
| 482 |
+
"epoch": 0.23192360163710776,
|
| 483 |
+
"grad_norm": 0.7360084056854248,
|
| 484 |
+
"learning_rate": 7.472658277867702e-05,
|
| 485 |
+
"loss": 0.05045387148857117,
|
| 486 |
+
"step": 340
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 0.23533424283765347,
|
| 490 |
+
"grad_norm": 2.315072536468506,
|
| 491 |
+
"learning_rate": 7.471408692877724e-05,
|
| 492 |
+
"loss": 0.07920202016830444,
|
| 493 |
+
"step": 345
|
| 494 |
+
},
|
| 495 |
+
{
|
| 496 |
+
"epoch": 0.23874488403819918,
|
| 497 |
+
"grad_norm": 1.2811086177825928,
|
| 498 |
+
"learning_rate": 7.470131296951592e-05,
|
| 499 |
+
"loss": 0.05552580952644348,
|
| 500 |
+
"step": 350
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 0.2421555252387449,
|
| 504 |
+
"grad_norm": 4.006563186645508,
|
| 505 |
+
"learning_rate": 7.468826099635578e-05,
|
| 506 |
+
"loss": 0.1419215679168701,
|
| 507 |
+
"step": 355
|
| 508 |
+
},
|
| 509 |
+
{
|
| 510 |
+
"epoch": 0.24556616643929058,
|
| 511 |
+
"grad_norm": 1.1540688276290894,
|
| 512 |
+
"learning_rate": 7.467493110683718e-05,
|
| 513 |
+
"loss": 0.03980849981307984,
|
| 514 |
+
"step": 360
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.2489768076398363,
|
| 518 |
+
"grad_norm": 1.5472272634506226,
|
| 519 |
+
"learning_rate": 7.466132340057742e-05,
|
| 520 |
+
"loss": 0.020862475037574768,
|
| 521 |
+
"step": 365
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.24965893587994542,
|
| 525 |
+
"eval_loss": 0.11654457449913025,
|
| 526 |
+
"eval_runtime": 1.0333,
|
| 527 |
+
"eval_samples_per_second": 72.584,
|
| 528 |
+
"eval_steps_per_second": 1.936,
|
| 529 |
+
"step": 366
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"eval_cer_subset": 0.05232320479629377,
|
| 533 |
+
"eval_cer_subset_edit_distance": 384,
|
| 534 |
+
"eval_cer_subset_groups": 75,
|
| 535 |
+
"eval_cer_subset_items": 75,
|
| 536 |
+
"eval_cer_subset_ref_chars": 7339,
|
| 537 |
+
"step": 366
|
| 538 |
+
}
|
| 539 |
+
],
|
| 540 |
+
"logging_steps": 5,
|
| 541 |
+
"max_steps": 5864,
|
| 542 |
+
"num_input_tokens_seen": 0,
|
| 543 |
+
"num_train_epochs": 4,
|
| 544 |
+
"save_steps": 366,
|
| 545 |
+
"stateful_callbacks": {
|
| 546 |
+
"TrainerControl": {
|
| 547 |
+
"args": {
|
| 548 |
+
"should_epoch_stop": false,
|
| 549 |
+
"should_evaluate": false,
|
| 550 |
+
"should_log": false,
|
| 551 |
+
"should_save": true,
|
| 552 |
+
"should_training_stop": false
|
| 553 |
+
},
|
| 554 |
+
"attributes": {}
|
| 555 |
+
}
|
| 556 |
+
},
|
| 557 |
+
"total_flos": 3797973616877568.0,
|
| 558 |
+
"train_batch_size": 2,
|
| 559 |
+
"trial_name": null,
|
| 560 |
+
"trial_params": null
|
| 561 |
+
}
|
meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bc6915d8d9dd9b5c9c17756c87ba7ec8221fd06789232d79225f9518167f0aa1
|
| 3 |
+
size 5841
|
meta-llama__meta-llama-3.1-8b/sft/run_manifest.json
CHANGED
|
@@ -1,104 +1,25 @@
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
| 3 |
-
"run_id": "
|
| 4 |
"run_type": "sft",
|
| 5 |
-
"profile_name": "
|
| 6 |
"model_name": "meta-llama/Meta-Llama-3.1-8B",
|
| 7 |
-
"status": "
|
| 8 |
"best_metric_name": "eval_loss",
|
| 9 |
-
"best_metric_value": 0.
|
| 10 |
-
"best_step":
|
| 11 |
-
"best_checkpoint_step":
|
| 12 |
-
"latest_checkpoint_step":
|
| 13 |
"checkpoints": [
|
| 14 |
{
|
| 15 |
-
"step":
|
| 16 |
-
"epoch": 0.
|
| 17 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-
|
| 18 |
-
"timestamp": "2026-04-
|
| 19 |
-
},
|
| 20 |
-
{
|
| 21 |
-
"step": 2932,
|
| 22 |
-
"epoch": 0.4999147485080989,
|
| 23 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-2932",
|
| 24 |
-
"timestamp": "2026-04-09T07:05:26.247945+00:00"
|
| 25 |
-
},
|
| 26 |
-
{
|
| 27 |
-
"step": 4398,
|
| 28 |
-
"epoch": 0.7498721227621483,
|
| 29 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-4398",
|
| 30 |
-
"timestamp": "2026-04-09T07:27:30.375921+00:00"
|
| 31 |
-
},
|
| 32 |
-
{
|
| 33 |
-
"step": 5864,
|
| 34 |
-
"epoch": 0.9998294970161978,
|
| 35 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-5864",
|
| 36 |
-
"timestamp": "2026-04-09T07:49:35.524807+00:00"
|
| 37 |
-
},
|
| 38 |
-
{
|
| 39 |
-
"step": 8796,
|
| 40 |
-
"epoch": 1.4997442455242966,
|
| 41 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-8796",
|
| 42 |
-
"timestamp": "2026-04-09T08:33:55.041513+00:00"
|
| 43 |
-
},
|
| 44 |
-
{
|
| 45 |
-
"step": 11728,
|
| 46 |
-
"epoch": 1.9996589940323957,
|
| 47 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-11728",
|
| 48 |
-
"timestamp": "2026-04-09T09:17:58.928263+00:00"
|
| 49 |
-
},
|
| 50 |
-
{
|
| 51 |
-
"step": 17592,
|
| 52 |
-
"epoch": 2.9994884910485933,
|
| 53 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-17592",
|
| 54 |
-
"timestamp": "2026-04-09T10:51:28.078443+00:00"
|
| 55 |
-
},
|
| 56 |
-
{
|
| 57 |
-
"step": 20524,
|
| 58 |
-
"epoch": 3.4994032395566923,
|
| 59 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-20524",
|
| 60 |
-
"timestamp": "2026-04-09T11:35:41.945420+00:00"
|
| 61 |
-
},
|
| 62 |
-
{
|
| 63 |
-
"step": 23456,
|
| 64 |
-
"epoch": 3.9993179880647913,
|
| 65 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23456",
|
| 66 |
-
"timestamp": "2026-04-09T12:19:46.469075+00:00"
|
| 67 |
-
},
|
| 68 |
-
{
|
| 69 |
-
"step": 23460,
|
| 70 |
-
"epoch": 4.0,
|
| 71 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-23460",
|
| 72 |
-
"timestamp": "2026-04-09T12:19:53.861946+00:00"
|
| 73 |
-
}
|
| 74 |
-
],
|
| 75 |
-
"epoch_artifacts": [
|
| 76 |
-
{
|
| 77 |
-
"epoch_label": "epoch_0001",
|
| 78 |
-
"global_step": 5865,
|
| 79 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/epoch_0001",
|
| 80 |
-
"timestamp": "2026-04-09T07:49:42.819325+00:00"
|
| 81 |
-
},
|
| 82 |
-
{
|
| 83 |
-
"epoch_label": "epoch_0002",
|
| 84 |
-
"global_step": 11730,
|
| 85 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/epoch_0002",
|
| 86 |
-
"timestamp": "2026-04-09T09:18:09.377639+00:00"
|
| 87 |
-
},
|
| 88 |
-
{
|
| 89 |
-
"epoch_label": "epoch_0003",
|
| 90 |
-
"global_step": 17595,
|
| 91 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/epoch_0003",
|
| 92 |
-
"timestamp": "2026-04-09T10:51:37.072000+00:00"
|
| 93 |
-
},
|
| 94 |
-
{
|
| 95 |
-
"epoch_label": "epoch_0004",
|
| 96 |
-
"global_step": 23460,
|
| 97 |
-
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/epoch_0004",
|
| 98 |
-
"timestamp": "2026-04-09T12:20:09.009540+00:00"
|
| 99 |
}
|
| 100 |
],
|
|
|
|
| 101 |
"resume_history": [],
|
| 102 |
-
"created_at": "2026-04-
|
| 103 |
-
"updated_at": "2026-04-
|
| 104 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"schema_version": 1,
|
| 3 |
+
"run_id": "b21d4e76-e0f6-4f23-a059-57095fb3ba07",
|
| 4 |
"run_type": "sft",
|
| 5 |
+
"profile_name": "llama3_1_8b_base_lessdata",
|
| 6 |
"model_name": "meta-llama/Meta-Llama-3.1-8B",
|
| 7 |
+
"status": "running",
|
| 8 |
"best_metric_name": "eval_loss",
|
| 9 |
+
"best_metric_value": 0.11654457449913025,
|
| 10 |
+
"best_step": 366,
|
| 11 |
+
"best_checkpoint_step": 366,
|
| 12 |
+
"latest_checkpoint_step": 366,
|
| 13 |
"checkpoints": [
|
| 14 |
{
|
| 15 |
+
"step": 366,
|
| 16 |
+
"epoch": 0.24965893587994542,
|
| 17 |
+
"repo_path": "meta-llama__meta-llama-3.1-8b/sft/checkpoints/checkpoint-366",
|
| 18 |
+
"timestamp": "2026-04-09T22:13:58.949626+00:00"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
}
|
| 20 |
],
|
| 21 |
+
"epoch_artifacts": [],
|
| 22 |
"resume_history": [],
|
| 23 |
+
"created_at": "2026-04-09T22:12:40.588264+00:00",
|
| 24 |
+
"updated_at": "2026-04-09T22:13:58.949641+00:00"
|
| 25 |
}
|