Upload full trainer checkpoint step=1521 (profile=llama3_2_1b_base_grpo, run_type=grpo)
Browse files- .gitattributes +1 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/README.md +210 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/adapter_config.json +50 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/adapter_model.safetensors +3 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/chat_template.jinja +12 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/optimizer.pt +3 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/rng_state.pth +3 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/scheduler.pt +3 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/tokenizer.json +3 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/tokenizer_config.json +18 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/trainer_state.json +871 -0
- meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/training_args.bin +3 -0
- meta-llama__llama-3.2-1b/grpo/run_manifest.json +11 -5
.gitattributes
CHANGED
|
@@ -101,3 +101,4 @@ meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-9384/tokenizer.json filter=
|
|
| 101 |
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-10557/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 102 |
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-507/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 103 |
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1014/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 101 |
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-10557/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 102 |
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-507/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 103 |
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1014/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 104 |
+
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/README.md
ADDED
|
@@ -0,0 +1,210 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: unsloth/Llama-3.2-1B
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:unsloth/Llama-3.2-1B
|
| 7 |
+
- grpo
|
| 8 |
+
- lora
|
| 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__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/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/Llama-3.2-1B",
|
| 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": 16,
|
| 33 |
+
"rank_pattern": {},
|
| 34 |
+
"revision": null,
|
| 35 |
+
"target_modules": [
|
| 36 |
+
"down_proj",
|
| 37 |
+
"o_proj",
|
| 38 |
+
"q_proj",
|
| 39 |
+
"gate_proj",
|
| 40 |
+
"k_proj",
|
| 41 |
+
"up_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__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4b64520dac120360a681172ee6c20f6a8a359f022b00e3736a03fa8f661bc82d
|
| 3 |
+
size 45118424
|
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/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__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0830b03c2dcc83bcc0067bae18a13b427eafd77e198cb48e8c6b6ad8abeb1c0c
|
| 3 |
+
size 23162187
|
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:226d4b57f915ee5226f4e1a0ab194b7b91546f46d15d7a9bc73d173fa0e7e5eb
|
| 3 |
+
size 14645
|
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3bc9636f2dbc22ed3ccdb05391916eed679ce751978eea151bc52b8cfe3954b4
|
| 3 |
+
size 1465
|
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a65c6c5f9764771aa485e6a1f5e63d7d9af8477fe0777148c17476ecb2e09a05
|
| 3 |
+
size 17210099
|
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/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__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/trainer_state.json
ADDED
|
@@ -0,0 +1,871 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.0027015601909741956,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 1521,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"clip_ratio/high_max": 0.0,
|
| 14 |
+
"clip_ratio/high_mean": 0.0,
|
| 15 |
+
"clip_ratio/low_mean": 0.0,
|
| 16 |
+
"clip_ratio/low_min": 0.0,
|
| 17 |
+
"clip_ratio/region_mean": 0.0,
|
| 18 |
+
"completion_length": 65.67,
|
| 19 |
+
"completions/clipped_ratio": 0.0,
|
| 20 |
+
"completions/max_length": 93.75,
|
| 21 |
+
"completions/max_terminated_length": 93.75,
|
| 22 |
+
"completions/mean_length": 63.3203125,
|
| 23 |
+
"completions/mean_terminated_length": 63.3203125,
|
| 24 |
+
"completions/min_length": 38.25,
|
| 25 |
+
"completions/min_terminated_length": 38.25,
|
| 26 |
+
"epoch": 8.88086847789019e-05,
|
| 27 |
+
"frac_reward_zero_std": 0.5625,
|
| 28 |
+
"grad_norm": 0.007002627942711115,
|
| 29 |
+
"kl": 0.0,
|
| 30 |
+
"learning_rate": 2.7197442330321267e-08,
|
| 31 |
+
"loss": -0.0006554330885410309,
|
| 32 |
+
"num_tokens": 57618.0,
|
| 33 |
+
"reward": -6.51925802230835e-09,
|
| 34 |
+
"reward_std": 0.48731958121061325,
|
| 35 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": -8.381903171539307e-09,
|
| 36 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.007905274629593,
|
| 37 |
+
"step": 50
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"clip_ratio/high_max": 0.0,
|
| 41 |
+
"clip_ratio/high_mean": 0.0,
|
| 42 |
+
"clip_ratio/low_mean": 0.0,
|
| 43 |
+
"clip_ratio/low_min": 0.0,
|
| 44 |
+
"clip_ratio/region_mean": 0.0,
|
| 45 |
+
"completion_length": 52.34,
|
| 46 |
+
"completions/clipped_ratio": 0.0,
|
| 47 |
+
"completions/max_length": 84.33333333333333,
|
| 48 |
+
"completions/max_terminated_length": 84.33333333333333,
|
| 49 |
+
"completions/mean_length": 51.208333333333336,
|
| 50 |
+
"completions/mean_terminated_length": 51.208333333333336,
|
| 51 |
+
"completions/min_length": 26.0,
|
| 52 |
+
"completions/min_terminated_length": 26.0,
|
| 53 |
+
"epoch": 0.0001776173695578038,
|
| 54 |
+
"frac_reward_zero_std": 0.6666666666666666,
|
| 55 |
+
"grad_norm": 0.0,
|
| 56 |
+
"kl": 0.0,
|
| 57 |
+
"learning_rate": 5.494993450411847e-08,
|
| 58 |
+
"loss": 0.0013675823807716369,
|
| 59 |
+
"num_tokens": 94074.0,
|
| 60 |
+
"reward": 1.4901161193847656e-08,
|
| 61 |
+
"reward_std": 0.44680649042129517,
|
| 62 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 1.179675261179606e-08,
|
| 63 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052845637004,
|
| 64 |
+
"step": 100
|
| 65 |
+
},
|
| 66 |
+
{
|
| 67 |
+
"clip_ratio/high_max": 0.0,
|
| 68 |
+
"clip_ratio/high_mean": 0.0,
|
| 69 |
+
"clip_ratio/low_mean": 0.00017899675294756888,
|
| 70 |
+
"clip_ratio/low_min": 0.00017899675294756888,
|
| 71 |
+
"clip_ratio/region_mean": 0.00017899675294756888,
|
| 72 |
+
"completion_length": 64.945,
|
| 73 |
+
"completions/clipped_ratio": 0.0,
|
| 74 |
+
"completions/max_length": 119.33333333333333,
|
| 75 |
+
"completions/max_terminated_length": 119.33333333333333,
|
| 76 |
+
"completions/mean_length": 66.65625,
|
| 77 |
+
"completions/mean_terminated_length": 66.65625,
|
| 78 |
+
"completions/min_length": 39.0,
|
| 79 |
+
"completions/min_terminated_length": 39.0,
|
| 80 |
+
"epoch": 0.0002664260543367057,
|
| 81 |
+
"frac_reward_zero_std": 0.7083333333333334,
|
| 82 |
+
"grad_norm": 0.015731461346149445,
|
| 83 |
+
"kl": 0.0,
|
| 84 |
+
"learning_rate": 8.270242667791569e-08,
|
| 85 |
+
"loss": 0.0017325745522975922,
|
| 86 |
+
"num_tokens": 139152.0,
|
| 87 |
+
"reward": 2.483526865641276e-09,
|
| 88 |
+
"reward_std": 0.2613494098186493,
|
| 89 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 0.0,
|
| 90 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 91 |
+
"step": 150
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"clip_ratio/high_max": 0.0,
|
| 95 |
+
"clip_ratio/high_mean": 0.0,
|
| 96 |
+
"clip_ratio/low_mean": 0.0,
|
| 97 |
+
"clip_ratio/low_min": 0.0,
|
| 98 |
+
"clip_ratio/region_mean": 0.0,
|
| 99 |
+
"completion_length": 60.15,
|
| 100 |
+
"completions/clipped_ratio": 0.0,
|
| 101 |
+
"completions/max_length": 99.0,
|
| 102 |
+
"completions/max_terminated_length": 99.0,
|
| 103 |
+
"completions/mean_length": 63.015625,
|
| 104 |
+
"completions/mean_terminated_length": 63.015625,
|
| 105 |
+
"completions/min_length": 32.666666666666664,
|
| 106 |
+
"completions/min_terminated_length": 32.666666666666664,
|
| 107 |
+
"epoch": 0.0003552347391156076,
|
| 108 |
+
"frac_reward_zero_std": 0.4583333333333333,
|
| 109 |
+
"grad_norm": 0.039579447358846664,
|
| 110 |
+
"kl": 0.0,
|
| 111 |
+
"learning_rate": 1.1045491885171288e-07,
|
| 112 |
+
"loss": -0.0044269835948944096,
|
| 113 |
+
"num_tokens": 182803.0,
|
| 114 |
+
"reward": -4.967053731282552e-09,
|
| 115 |
+
"reward_std": 0.5628267228603363,
|
| 116 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": -2.483526865641276e-09,
|
| 117 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052845637004,
|
| 118 |
+
"step": 200
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"clip_ratio/high_max": 0.0,
|
| 122 |
+
"clip_ratio/high_mean": 0.0,
|
| 123 |
+
"clip_ratio/low_mean": 0.00016559829469770193,
|
| 124 |
+
"clip_ratio/low_min": 0.00016559829469770193,
|
| 125 |
+
"clip_ratio/region_mean": 0.00016559829469770193,
|
| 126 |
+
"completion_length": 64.905,
|
| 127 |
+
"completions/clipped_ratio": 0.0,
|
| 128 |
+
"completions/max_length": 98.66666666666667,
|
| 129 |
+
"completions/max_terminated_length": 98.66666666666667,
|
| 130 |
+
"completions/mean_length": 64.203125,
|
| 131 |
+
"completions/mean_terminated_length": 64.203125,
|
| 132 |
+
"completions/min_length": 35.666666666666664,
|
| 133 |
+
"completions/min_terminated_length": 35.666666666666664,
|
| 134 |
+
"epoch": 0.0004440434238945095,
|
| 135 |
+
"frac_reward_zero_std": 0.4166666666666667,
|
| 136 |
+
"grad_norm": 0.011699045076966286,
|
| 137 |
+
"kl": 0.0,
|
| 138 |
+
"learning_rate": 1.382074110255101e-07,
|
| 139 |
+
"loss": 0.00223430335521698,
|
| 140 |
+
"num_tokens": 227314.0,
|
| 141 |
+
"reward": 2.2351741790771484e-08,
|
| 142 |
+
"reward_std": 0.4298504690329234,
|
| 143 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 1.241763432820638e-08,
|
| 144 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 145 |
+
"step": 250
|
| 146 |
+
},
|
| 147 |
+
{
|
| 148 |
+
"clip_ratio/high_max": 0.0,
|
| 149 |
+
"clip_ratio/high_mean": 0.0,
|
| 150 |
+
"clip_ratio/low_mean": 0.0,
|
| 151 |
+
"clip_ratio/low_min": 0.0,
|
| 152 |
+
"clip_ratio/region_mean": 0.0,
|
| 153 |
+
"completion_length": 70.07,
|
| 154 |
+
"completions/clipped_ratio": 0.0,
|
| 155 |
+
"completions/max_length": 108.0,
|
| 156 |
+
"completions/max_terminated_length": 108.0,
|
| 157 |
+
"completions/mean_length": 70.63541666666667,
|
| 158 |
+
"completions/mean_terminated_length": 70.63541666666667,
|
| 159 |
+
"completions/min_length": 34.0,
|
| 160 |
+
"completions/min_terminated_length": 34.0,
|
| 161 |
+
"epoch": 0.0005328521086734114,
|
| 162 |
+
"frac_reward_zero_std": 0.5833333333333334,
|
| 163 |
+
"grad_norm": 0.0456908717751503,
|
| 164 |
+
"kl": 0.0,
|
| 165 |
+
"learning_rate": 1.659599031993073e-07,
|
| 166 |
+
"loss": -0.0011175717413425446,
|
| 167 |
+
"num_tokens": 275956.0,
|
| 168 |
+
"reward": 5.587935447692871e-09,
|
| 169 |
+
"reward_std": 0.4012269576390584,
|
| 170 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 3.104408582051595e-09,
|
| 171 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 172 |
+
"step": 300
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"clip_ratio/high_max": 0.0,
|
| 176 |
+
"clip_ratio/high_mean": 0.0,
|
| 177 |
+
"clip_ratio/low_mean": 5.8139534667134284e-05,
|
| 178 |
+
"clip_ratio/low_min": 5.8139534667134284e-05,
|
| 179 |
+
"clip_ratio/region_mean": 5.8139534667134284e-05,
|
| 180 |
+
"completion_length": 62.93,
|
| 181 |
+
"completions/clipped_ratio": 0.0,
|
| 182 |
+
"completions/max_length": 95.66666666666667,
|
| 183 |
+
"completions/max_terminated_length": 95.66666666666667,
|
| 184 |
+
"completions/mean_length": 61.6875,
|
| 185 |
+
"completions/mean_terminated_length": 61.6875,
|
| 186 |
+
"completions/min_length": 29.333333333333332,
|
| 187 |
+
"completions/min_terminated_length": 29.333333333333332,
|
| 188 |
+
"epoch": 0.0006216607934523133,
|
| 189 |
+
"frac_reward_zero_std": 0.75,
|
| 190 |
+
"grad_norm": 0.0190290417522192,
|
| 191 |
+
"kl": 0.0,
|
| 192 |
+
"learning_rate": 1.9371239537310452e-07,
|
| 193 |
+
"loss": -0.0010719958692789078,
|
| 194 |
+
"num_tokens": 319328.0,
|
| 195 |
+
"reward": -2.483526865641276e-09,
|
| 196 |
+
"reward_std": 0.34829530119895935,
|
| 197 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": -4.967053731282552e-09,
|
| 198 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 199 |
+
"step": 350
|
| 200 |
+
},
|
| 201 |
+
{
|
| 202 |
+
"clip_ratio/high_max": 0.0,
|
| 203 |
+
"clip_ratio/high_mean": 0.0,
|
| 204 |
+
"clip_ratio/low_mean": 7.352941203862428e-05,
|
| 205 |
+
"clip_ratio/low_min": 7.352941203862428e-05,
|
| 206 |
+
"clip_ratio/region_mean": 7.352941203862428e-05,
|
| 207 |
+
"completion_length": 62.725,
|
| 208 |
+
"completions/clipped_ratio": 0.0,
|
| 209 |
+
"completions/max_length": 105.66666666666667,
|
| 210 |
+
"completions/max_terminated_length": 105.66666666666667,
|
| 211 |
+
"completions/mean_length": 62.890625,
|
| 212 |
+
"completions/mean_terminated_length": 62.890625,
|
| 213 |
+
"completions/min_length": 34.666666666666664,
|
| 214 |
+
"completions/min_terminated_length": 34.666666666666664,
|
| 215 |
+
"epoch": 0.0007104694782312152,
|
| 216 |
+
"frac_reward_zero_std": 0.5,
|
| 217 |
+
"grad_norm": 0.02625960297882557,
|
| 218 |
+
"kl": 0.0,
|
| 219 |
+
"learning_rate": 2.2146488754690174e-07,
|
| 220 |
+
"loss": 0.0013731226325035095,
|
| 221 |
+
"num_tokens": 362563.0,
|
| 222 |
+
"reward": 4.967053731282552e-09,
|
| 223 |
+
"reward_std": 0.44316299756368,
|
| 224 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 0.0,
|
| 225 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 226 |
+
"step": 400
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"clip_ratio/high_max": 0.0,
|
| 230 |
+
"clip_ratio/high_mean": 0.0,
|
| 231 |
+
"clip_ratio/low_mean": 8.695651777088643e-05,
|
| 232 |
+
"clip_ratio/low_min": 8.695651777088643e-05,
|
| 233 |
+
"clip_ratio/region_mean": 8.695651777088643e-05,
|
| 234 |
+
"completion_length": 66.03,
|
| 235 |
+
"completions/clipped_ratio": 0.0,
|
| 236 |
+
"completions/max_length": 112.0,
|
| 237 |
+
"completions/max_terminated_length": 112.0,
|
| 238 |
+
"completions/mean_length": 70.2890625,
|
| 239 |
+
"completions/mean_terminated_length": 70.2890625,
|
| 240 |
+
"completions/min_length": 42.75,
|
| 241 |
+
"completions/min_terminated_length": 42.75,
|
| 242 |
+
"epoch": 0.0007992781630101171,
|
| 243 |
+
"frac_reward_zero_std": 0.5625,
|
| 244 |
+
"grad_norm": 0.0035960455425083637,
|
| 245 |
+
"kl": 0.0,
|
| 246 |
+
"learning_rate": 2.492173797206989e-07,
|
| 247 |
+
"loss": -0.0004108186066150665,
|
| 248 |
+
"num_tokens": 427021.0,
|
| 249 |
+
"reward": 1.30385160446167e-08,
|
| 250 |
+
"reward_std": 0.383321788161993,
|
| 251 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 1.4901161193847656e-08,
|
| 252 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 253 |
+
"step": 450
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"clip_ratio/high_max": 0.0,
|
| 257 |
+
"clip_ratio/high_mean": 0.0,
|
| 258 |
+
"clip_ratio/low_mean": 0.0,
|
| 259 |
+
"clip_ratio/low_min": 0.0,
|
| 260 |
+
"clip_ratio/region_mean": 0.0,
|
| 261 |
+
"completion_length": 63.98,
|
| 262 |
+
"completions/clipped_ratio": 0.0,
|
| 263 |
+
"completions/max_length": 85.33333333333333,
|
| 264 |
+
"completions/max_terminated_length": 85.33333333333333,
|
| 265 |
+
"completions/mean_length": 55.046875,
|
| 266 |
+
"completions/mean_terminated_length": 55.046875,
|
| 267 |
+
"completions/min_length": 29.666666666666668,
|
| 268 |
+
"completions/min_terminated_length": 29.666666666666668,
|
| 269 |
+
"epoch": 0.000888086847789019,
|
| 270 |
+
"frac_reward_zero_std": 0.7916666666666666,
|
| 271 |
+
"grad_norm": 0.0006704159895889461,
|
| 272 |
+
"kl": 0.0,
|
| 273 |
+
"learning_rate": 2.7696987189449615e-07,
|
| 274 |
+
"loss": 0.0006217561289668084,
|
| 275 |
+
"num_tokens": 464766.0,
|
| 276 |
+
"reward": -4.967053731282552e-09,
|
| 277 |
+
"reward_std": 0.1608196645975113,
|
| 278 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 4.967053731282552e-09,
|
| 279 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 0.6719369093577067,
|
| 280 |
+
"step": 500
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"eval_cer_subset": 0.013239532952269286,
|
| 284 |
+
"eval_cer_subset_edit_distance": 813,
|
| 285 |
+
"eval_cer_subset_groups": 250,
|
| 286 |
+
"eval_cer_subset_items": 250,
|
| 287 |
+
"eval_cer_subset_ref_chars": 61407,
|
| 288 |
+
"eval_loss": 0.03968957871396896,
|
| 289 |
+
"step": 507
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"clip_ratio/high_max": 0.00010526316240429879,
|
| 293 |
+
"clip_ratio/high_mean": 0.00010526316240429879,
|
| 294 |
+
"clip_ratio/low_mean": 5.917159840464592e-05,
|
| 295 |
+
"clip_ratio/low_min": 5.917159840464592e-05,
|
| 296 |
+
"clip_ratio/region_mean": 0.0001644347608089447,
|
| 297 |
+
"completion_length": 65.61,
|
| 298 |
+
"completions/clipped_ratio": 0.0,
|
| 299 |
+
"completions/max_length": 114.66666666666667,
|
| 300 |
+
"completions/max_terminated_length": 114.66666666666667,
|
| 301 |
+
"completions/mean_length": 71.984375,
|
| 302 |
+
"completions/mean_terminated_length": 71.984375,
|
| 303 |
+
"completions/min_length": 37.0,
|
| 304 |
+
"completions/min_terminated_length": 37.0,
|
| 305 |
+
"epoch": 0.000976895532567921,
|
| 306 |
+
"frac_reward_zero_std": 0.7083333333333334,
|
| 307 |
+
"grad_norm": 0.008066101931035519,
|
| 308 |
+
"kl": 0.0,
|
| 309 |
+
"learning_rate": 3.0472236406829335e-07,
|
| 310 |
+
"loss": -3.333181142807007e-05,
|
| 311 |
+
"num_tokens": 513963.0,
|
| 312 |
+
"reward": 0.0,
|
| 313 |
+
"reward_std": 0.36842172344525653,
|
| 314 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 0.0,
|
| 315 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 316 |
+
"step": 550
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"clip_ratio/high_max": 0.0,
|
| 320 |
+
"clip_ratio/high_mean": 0.0,
|
| 321 |
+
"clip_ratio/low_mean": 9.615384973585606e-05,
|
| 322 |
+
"clip_ratio/low_min": 9.615384973585606e-05,
|
| 323 |
+
"clip_ratio/region_mean": 9.615384973585606e-05,
|
| 324 |
+
"completion_length": 73.1,
|
| 325 |
+
"completions/clipped_ratio": 0.0,
|
| 326 |
+
"completions/max_length": 108.33333333333333,
|
| 327 |
+
"completions/max_terminated_length": 108.33333333333333,
|
| 328 |
+
"completions/mean_length": 71.40104166666667,
|
| 329 |
+
"completions/mean_terminated_length": 71.40104166666667,
|
| 330 |
+
"completions/min_length": 47.0,
|
| 331 |
+
"completions/min_terminated_length": 47.0,
|
| 332 |
+
"epoch": 0.0010657042173468228,
|
| 333 |
+
"frac_reward_zero_std": 0.4583333333333333,
|
| 334 |
+
"grad_norm": 0.00526217557489872,
|
| 335 |
+
"kl": 0.0,
|
| 336 |
+
"learning_rate": 3.3247485624209054e-07,
|
| 337 |
+
"loss": 0.00033511649817228315,
|
| 338 |
+
"num_tokens": 562392.0,
|
| 339 |
+
"reward": -4.967053731282552e-09,
|
| 340 |
+
"reward_std": 0.35033048689365387,
|
| 341 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": -2.483526865641276e-09,
|
| 342 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 343 |
+
"step": 600
|
| 344 |
+
},
|
| 345 |
+
{
|
| 346 |
+
"clip_ratio/high_max": 0.0,
|
| 347 |
+
"clip_ratio/high_mean": 0.0,
|
| 348 |
+
"clip_ratio/low_mean": 6.493506487458944e-05,
|
| 349 |
+
"clip_ratio/low_min": 6.493506487458944e-05,
|
| 350 |
+
"clip_ratio/region_mean": 6.493506487458944e-05,
|
| 351 |
+
"completion_length": 71.48,
|
| 352 |
+
"completions/clipped_ratio": 0.0,
|
| 353 |
+
"completions/max_length": 111.66666666666667,
|
| 354 |
+
"completions/max_terminated_length": 111.66666666666667,
|
| 355 |
+
"completions/mean_length": 71.27604166666667,
|
| 356 |
+
"completions/mean_terminated_length": 71.27604166666667,
|
| 357 |
+
"completions/min_length": 39.666666666666664,
|
| 358 |
+
"completions/min_terminated_length": 39.666666666666664,
|
| 359 |
+
"epoch": 0.0011545129021257247,
|
| 360 |
+
"frac_reward_zero_std": 0.5416666666666666,
|
| 361 |
+
"grad_norm": 0.02180999144911766,
|
| 362 |
+
"kl": 0.0,
|
| 363 |
+
"learning_rate": 3.602273484158878e-07,
|
| 364 |
+
"loss": -0.0010874558240175248,
|
| 365 |
+
"num_tokens": 610477.0,
|
| 366 |
+
"reward": -4.967053731282552e-09,
|
| 367 |
+
"reward_std": 0.29229696094989777,
|
| 368 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": -4.967053731282552e-09,
|
| 369 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 370 |
+
"step": 650
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"clip_ratio/high_max": 0.0,
|
| 374 |
+
"clip_ratio/high_mean": 0.0,
|
| 375 |
+
"clip_ratio/low_mean": 0.0,
|
| 376 |
+
"clip_ratio/low_min": 0.0,
|
| 377 |
+
"clip_ratio/region_mean": 0.0,
|
| 378 |
+
"completion_length": 68.335,
|
| 379 |
+
"completions/clipped_ratio": 0.0,
|
| 380 |
+
"completions/max_length": 106.66666666666667,
|
| 381 |
+
"completions/max_terminated_length": 106.66666666666667,
|
| 382 |
+
"completions/mean_length": 67.78645833333333,
|
| 383 |
+
"completions/mean_terminated_length": 67.78645833333333,
|
| 384 |
+
"completions/min_length": 34.0,
|
| 385 |
+
"completions/min_terminated_length": 34.0,
|
| 386 |
+
"epoch": 0.0012433215869046266,
|
| 387 |
+
"frac_reward_zero_std": 0.5,
|
| 388 |
+
"grad_norm": 0.03915110602974892,
|
| 389 |
+
"kl": 0.0,
|
| 390 |
+
"learning_rate": 3.87979840589685e-07,
|
| 391 |
+
"loss": -0.0011869536340236664,
|
| 392 |
+
"num_tokens": 657028.0,
|
| 393 |
+
"reward": 2.483526865641276e-09,
|
| 394 |
+
"reward_std": 0.5572122434775034,
|
| 395 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 2.483526865641276e-09,
|
| 396 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 397 |
+
"step": 700
|
| 398 |
+
},
|
| 399 |
+
{
|
| 400 |
+
"clip_ratio/high_max": 0.0,
|
| 401 |
+
"clip_ratio/high_mean": 0.0,
|
| 402 |
+
"clip_ratio/low_mean": 0.0,
|
| 403 |
+
"clip_ratio/low_min": 0.0,
|
| 404 |
+
"clip_ratio/region_mean": 0.0,
|
| 405 |
+
"completion_length": 67.125,
|
| 406 |
+
"completions/clipped_ratio": 0.0,
|
| 407 |
+
"completions/max_length": 105.33333333333333,
|
| 408 |
+
"completions/max_terminated_length": 105.33333333333333,
|
| 409 |
+
"completions/mean_length": 67.28645833333333,
|
| 410 |
+
"completions/mean_terminated_length": 67.28645833333333,
|
| 411 |
+
"completions/min_length": 35.333333333333336,
|
| 412 |
+
"completions/min_terminated_length": 35.333333333333336,
|
| 413 |
+
"epoch": 0.0013321302716835285,
|
| 414 |
+
"frac_reward_zero_std": 0.6666666666666666,
|
| 415 |
+
"grad_norm": 0.048128049820661545,
|
| 416 |
+
"kl": 0.0,
|
| 417 |
+
"learning_rate": 4.1573233276348217e-07,
|
| 418 |
+
"loss": 0.0027270379662513735,
|
| 419 |
+
"num_tokens": 702891.0,
|
| 420 |
+
"reward": 2.483526865641276e-09,
|
| 421 |
+
"reward_std": 0.4348108967145284,
|
| 422 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": -6.829698880513509e-09,
|
| 423 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 424 |
+
"step": 750
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"clip_ratio/high_max": 0.0,
|
| 428 |
+
"clip_ratio/high_mean": 0.0,
|
| 429 |
+
"clip_ratio/low_mean": 0.00010526316240429879,
|
| 430 |
+
"clip_ratio/low_min": 0.00010526316240429879,
|
| 431 |
+
"clip_ratio/region_mean": 0.00010526316240429879,
|
| 432 |
+
"completion_length": 67.81,
|
| 433 |
+
"completions/clipped_ratio": 0.0,
|
| 434 |
+
"completions/max_length": 98.66666666666667,
|
| 435 |
+
"completions/max_terminated_length": 98.66666666666667,
|
| 436 |
+
"completions/mean_length": 67.61458333333333,
|
| 437 |
+
"completions/mean_terminated_length": 67.61458333333333,
|
| 438 |
+
"completions/min_length": 34.333333333333336,
|
| 439 |
+
"completions/min_terminated_length": 34.333333333333336,
|
| 440 |
+
"epoch": 0.0014209389564624304,
|
| 441 |
+
"frac_reward_zero_std": 0.5833333333333334,
|
| 442 |
+
"grad_norm": 0.028703227639198303,
|
| 443 |
+
"kl": 0.0,
|
| 444 |
+
"learning_rate": 4.434848249372794e-07,
|
| 445 |
+
"loss": -0.0013799819350242615,
|
| 446 |
+
"num_tokens": 749081.0,
|
| 447 |
+
"reward": -1.4901161193847656e-08,
|
| 448 |
+
"reward_std": 0.40635913610458374,
|
| 449 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": -1.4901161193847656e-08,
|
| 450 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 451 |
+
"step": 800
|
| 452 |
+
},
|
| 453 |
+
{
|
| 454 |
+
"clip_ratio/high_max": 0.0,
|
| 455 |
+
"clip_ratio/high_mean": 0.0,
|
| 456 |
+
"clip_ratio/low_mean": 8.333333767950535e-05,
|
| 457 |
+
"clip_ratio/low_min": 8.333333767950535e-05,
|
| 458 |
+
"clip_ratio/region_mean": 8.333333767950535e-05,
|
| 459 |
+
"completion_length": 73.535,
|
| 460 |
+
"completions/clipped_ratio": 0.0,
|
| 461 |
+
"completions/max_length": 113.5,
|
| 462 |
+
"completions/max_terminated_length": 113.5,
|
| 463 |
+
"completions/mean_length": 75.88671875,
|
| 464 |
+
"completions/mean_terminated_length": 75.88671875,
|
| 465 |
+
"completions/min_length": 36.5,
|
| 466 |
+
"completions/min_terminated_length": 36.5,
|
| 467 |
+
"epoch": 0.0015097476412413323,
|
| 468 |
+
"frac_reward_zero_std": 0.59375,
|
| 469 |
+
"grad_norm": 0.002819702262058854,
|
| 470 |
+
"kl": 0.0,
|
| 471 |
+
"learning_rate": 4.712373171110766e-07,
|
| 472 |
+
"loss": -0.0007266353815793992,
|
| 473 |
+
"num_tokens": 818284.0,
|
| 474 |
+
"reward": 9.313225746154785e-09,
|
| 475 |
+
"reward_std": 0.472036711871624,
|
| 476 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 1.1175870895385742e-08,
|
| 477 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.007905274629593,
|
| 478 |
+
"step": 850
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"clip_ratio/high_max": 4.291845485568046e-05,
|
| 482 |
+
"clip_ratio/high_mean": 4.291845485568046e-05,
|
| 483 |
+
"clip_ratio/low_mean": 4.32900432497263e-05,
|
| 484 |
+
"clip_ratio/low_min": 4.32900432497263e-05,
|
| 485 |
+
"clip_ratio/region_mean": 8.620849810540676e-05,
|
| 486 |
+
"completion_length": 76.735,
|
| 487 |
+
"completions/clipped_ratio": 0.0,
|
| 488 |
+
"completions/max_length": 123.0,
|
| 489 |
+
"completions/max_terminated_length": 123.0,
|
| 490 |
+
"completions/mean_length": 73.05208333333333,
|
| 491 |
+
"completions/mean_terminated_length": 73.05208333333333,
|
| 492 |
+
"completions/min_length": 38.666666666666664,
|
| 493 |
+
"completions/min_terminated_length": 38.666666666666664,
|
| 494 |
+
"epoch": 0.0015985563260202341,
|
| 495 |
+
"frac_reward_zero_std": 0.5416666666666666,
|
| 496 |
+
"grad_norm": 0.0,
|
| 497 |
+
"kl": 0.0,
|
| 498 |
+
"learning_rate": 4.989898092848738e-07,
|
| 499 |
+
"loss": 0.0014878523349761963,
|
| 500 |
+
"num_tokens": 868206.0,
|
| 501 |
+
"reward": 1.241763432820638e-09,
|
| 502 |
+
"reward_std": 0.4125714997450511,
|
| 503 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 4.967053731282552e-09,
|
| 504 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052050908406,
|
| 505 |
+
"step": 900
|
| 506 |
+
},
|
| 507 |
+
{
|
| 508 |
+
"clip_ratio/high_max": 0.0,
|
| 509 |
+
"clip_ratio/high_mean": 0.0,
|
| 510 |
+
"clip_ratio/low_mean": 5.917159840464592e-05,
|
| 511 |
+
"clip_ratio/low_min": 5.917159840464592e-05,
|
| 512 |
+
"clip_ratio/region_mean": 5.917159840464592e-05,
|
| 513 |
+
"completion_length": 69.03,
|
| 514 |
+
"completions/clipped_ratio": 0.0,
|
| 515 |
+
"completions/max_length": 106.33333333333333,
|
| 516 |
+
"completions/max_terminated_length": 106.33333333333333,
|
| 517 |
+
"completions/mean_length": 66.10416666666667,
|
| 518 |
+
"completions/mean_terminated_length": 66.10416666666667,
|
| 519 |
+
"completions/min_length": 36.666666666666664,
|
| 520 |
+
"completions/min_terminated_length": 36.666666666666664,
|
| 521 |
+
"epoch": 0.001687365010799136,
|
| 522 |
+
"frac_reward_zero_std": 0.625,
|
| 523 |
+
"grad_norm": 0.0075177694670856,
|
| 524 |
+
"kl": 0.0,
|
| 525 |
+
"learning_rate": 5.26742301458671e-07,
|
| 526 |
+
"loss": -0.002387867271900177,
|
| 527 |
+
"num_tokens": 913738.0,
|
| 528 |
+
"reward": 0.0,
|
| 529 |
+
"reward_std": 0.4860446055730184,
|
| 530 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 2.483526865641276e-09,
|
| 531 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 532 |
+
"step": 950
|
| 533 |
+
},
|
| 534 |
+
{
|
| 535 |
+
"clip_ratio/high_max": 0.0,
|
| 536 |
+
"clip_ratio/high_mean": 0.0,
|
| 537 |
+
"clip_ratio/low_mean": 0.0,
|
| 538 |
+
"clip_ratio/low_min": 0.0,
|
| 539 |
+
"clip_ratio/region_mean": 0.0,
|
| 540 |
+
"completion_length": 63.8,
|
| 541 |
+
"completions/clipped_ratio": 0.0,
|
| 542 |
+
"completions/max_length": 106.33333333333333,
|
| 543 |
+
"completions/max_terminated_length": 106.33333333333333,
|
| 544 |
+
"completions/mean_length": 65.10416666666667,
|
| 545 |
+
"completions/mean_terminated_length": 65.10416666666667,
|
| 546 |
+
"completions/min_length": 28.0,
|
| 547 |
+
"completions/min_terminated_length": 28.0,
|
| 548 |
+
"epoch": 0.001776173695578038,
|
| 549 |
+
"frac_reward_zero_std": 0.5416666666666666,
|
| 550 |
+
"grad_norm": 0.02761891484260559,
|
| 551 |
+
"kl": 0.0,
|
| 552 |
+
"learning_rate": 5.544947936324682e-07,
|
| 553 |
+
"loss": 0.0017396166920661926,
|
| 554 |
+
"num_tokens": 958582.0,
|
| 555 |
+
"reward": 0.0,
|
| 556 |
+
"reward_std": 0.4594339330991109,
|
| 557 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 2.483526865641276e-09,
|
| 558 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079053243001301,
|
| 559 |
+
"step": 1000
|
| 560 |
+
},
|
| 561 |
+
{
|
| 562 |
+
"eval_cer_subset": 0.013044115491719185,
|
| 563 |
+
"eval_cer_subset_edit_distance": 801,
|
| 564 |
+
"eval_cer_subset_groups": 250,
|
| 565 |
+
"eval_cer_subset_items": 250,
|
| 566 |
+
"eval_cer_subset_ref_chars": 61407,
|
| 567 |
+
"eval_loss": 0.03965790307253722,
|
| 568 |
+
"step": 1014
|
| 569 |
+
},
|
| 570 |
+
{
|
| 571 |
+
"clip_ratio/high_max": 0.0,
|
| 572 |
+
"clip_ratio/high_mean": 0.0,
|
| 573 |
+
"clip_ratio/low_mean": 7.633587811142206e-05,
|
| 574 |
+
"clip_ratio/low_min": 7.633587811142206e-05,
|
| 575 |
+
"clip_ratio/region_mean": 7.633587811142206e-05,
|
| 576 |
+
"completion_length": 60.39,
|
| 577 |
+
"completions/clipped_ratio": 0.0,
|
| 578 |
+
"completions/max_length": 106.33333333333333,
|
| 579 |
+
"completions/max_terminated_length": 106.33333333333333,
|
| 580 |
+
"completions/mean_length": 60.489583333333336,
|
| 581 |
+
"completions/mean_terminated_length": 60.489583333333336,
|
| 582 |
+
"completions/min_length": 35.666666666666664,
|
| 583 |
+
"completions/min_terminated_length": 35.666666666666664,
|
| 584 |
+
"epoch": 0.0018649823803569398,
|
| 585 |
+
"frac_reward_zero_std": 0.5833333333333334,
|
| 586 |
+
"grad_norm": 0.0038077128119766712,
|
| 587 |
+
"kl": 0.0,
|
| 588 |
+
"learning_rate": 5.822472858062655e-07,
|
| 589 |
+
"loss": -0.00032259501516819,
|
| 590 |
+
"num_tokens": 1000028.0,
|
| 591 |
+
"reward": 9.934107462565104e-09,
|
| 592 |
+
"reward_std": 0.44259731968243915,
|
| 593 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 0.0,
|
| 594 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052845637004,
|
| 595 |
+
"step": 1050
|
| 596 |
+
},
|
| 597 |
+
{
|
| 598 |
+
"clip_ratio/high_max": 0.0,
|
| 599 |
+
"clip_ratio/high_mean": 0.0,
|
| 600 |
+
"clip_ratio/low_mean": 6.211180239915847e-05,
|
| 601 |
+
"clip_ratio/low_min": 6.211180239915847e-05,
|
| 602 |
+
"clip_ratio/region_mean": 6.211180239915847e-05,
|
| 603 |
+
"completion_length": 62.45,
|
| 604 |
+
"completions/clipped_ratio": 0.0,
|
| 605 |
+
"completions/max_length": 102.66666666666667,
|
| 606 |
+
"completions/max_terminated_length": 102.66666666666667,
|
| 607 |
+
"completions/mean_length": 62.046875,
|
| 608 |
+
"completions/mean_terminated_length": 62.046875,
|
| 609 |
+
"completions/min_length": 38.0,
|
| 610 |
+
"completions/min_terminated_length": 38.0,
|
| 611 |
+
"epoch": 0.001953791065135842,
|
| 612 |
+
"frac_reward_zero_std": 0.5416666666666666,
|
| 613 |
+
"grad_norm": 0.010413075797259808,
|
| 614 |
+
"kl": 0.0,
|
| 615 |
+
"learning_rate": 6.099997779800627e-07,
|
| 616 |
+
"loss": 0.0010119295865297319,
|
| 617 |
+
"num_tokens": 1042829.0,
|
| 618 |
+
"reward": 1.241763432820638e-09,
|
| 619 |
+
"reward_std": 0.5440023342768351,
|
| 620 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 2.483526865641276e-09,
|
| 621 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 622 |
+
"step": 1100
|
| 623 |
+
},
|
| 624 |
+
{
|
| 625 |
+
"clip_ratio/high_max": 0.0,
|
| 626 |
+
"clip_ratio/high_mean": 0.0,
|
| 627 |
+
"clip_ratio/low_mean": 5.3191487677395346e-05,
|
| 628 |
+
"clip_ratio/low_min": 5.3191487677395346e-05,
|
| 629 |
+
"clip_ratio/region_mean": 5.3191487677395346e-05,
|
| 630 |
+
"completion_length": 67.07,
|
| 631 |
+
"completions/clipped_ratio": 0.0,
|
| 632 |
+
"completions/max_length": 104.66666666666667,
|
| 633 |
+
"completions/max_terminated_length": 104.66666666666667,
|
| 634 |
+
"completions/mean_length": 67.171875,
|
| 635 |
+
"completions/mean_terminated_length": 67.171875,
|
| 636 |
+
"completions/min_length": 35.666666666666664,
|
| 637 |
+
"completions/min_terminated_length": 35.666666666666664,
|
| 638 |
+
"epoch": 0.0020425997499147436,
|
| 639 |
+
"frac_reward_zero_std": 0.4583333333333333,
|
| 640 |
+
"grad_norm": 0.0493728443980217,
|
| 641 |
+
"kl": 0.0,
|
| 642 |
+
"learning_rate": 6.377522701538599e-07,
|
| 643 |
+
"loss": -0.00021354854106903076,
|
| 644 |
+
"num_tokens": 1088622.0,
|
| 645 |
+
"reward": -1.7074247201283772e-08,
|
| 646 |
+
"reward_std": 0.5459979971249899,
|
| 647 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": -2.0489096641540527e-08,
|
| 648 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052845637004,
|
| 649 |
+
"step": 1150
|
| 650 |
+
},
|
| 651 |
+
{
|
| 652 |
+
"clip_ratio/high_max": 6.211180239915847e-05,
|
| 653 |
+
"clip_ratio/high_mean": 6.211180239915847e-05,
|
| 654 |
+
"clip_ratio/low_mean": 4.999999888241291e-05,
|
| 655 |
+
"clip_ratio/low_min": 4.999999888241291e-05,
|
| 656 |
+
"clip_ratio/region_mean": 0.00011211180128157139,
|
| 657 |
+
"completion_length": 66.76,
|
| 658 |
+
"completions/clipped_ratio": 0.0,
|
| 659 |
+
"completions/max_length": 100.33333333333333,
|
| 660 |
+
"completions/max_terminated_length": 100.33333333333333,
|
| 661 |
+
"completions/mean_length": 67.109375,
|
| 662 |
+
"completions/mean_terminated_length": 67.109375,
|
| 663 |
+
"completions/min_length": 40.666666666666664,
|
| 664 |
+
"completions/min_terminated_length": 40.666666666666664,
|
| 665 |
+
"epoch": 0.0021314084346936457,
|
| 666 |
+
"frac_reward_zero_std": 0.6666666666666666,
|
| 667 |
+
"grad_norm": 0.0007921307114884257,
|
| 668 |
+
"kl": 0.0,
|
| 669 |
+
"learning_rate": 6.655047623276571e-07,
|
| 670 |
+
"loss": -0.0006299776583909988,
|
| 671 |
+
"num_tokens": 1134523.0,
|
| 672 |
+
"reward": 4.967053731282552e-09,
|
| 673 |
+
"reward_std": 0.24005796015262604,
|
| 674 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 1.4901161193847656e-08,
|
| 675 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 676 |
+
"step": 1200
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"clip_ratio/high_max": 0.0,
|
| 680 |
+
"clip_ratio/high_mean": 0.0,
|
| 681 |
+
"clip_ratio/low_mean": 0.0,
|
| 682 |
+
"clip_ratio/low_min": 0.0,
|
| 683 |
+
"clip_ratio/region_mean": 0.0,
|
| 684 |
+
"completion_length": 66.65,
|
| 685 |
+
"completions/clipped_ratio": 0.0,
|
| 686 |
+
"completions/max_length": 108.5,
|
| 687 |
+
"completions/max_terminated_length": 108.5,
|
| 688 |
+
"completions/mean_length": 64.26953125,
|
| 689 |
+
"completions/mean_terminated_length": 64.26953125,
|
| 690 |
+
"completions/min_length": 33.5,
|
| 691 |
+
"completions/min_terminated_length": 33.5,
|
| 692 |
+
"epoch": 0.0022202171194725473,
|
| 693 |
+
"frac_reward_zero_std": 0.6875,
|
| 694 |
+
"grad_norm": 0.0,
|
| 695 |
+
"kl": 0.0,
|
| 696 |
+
"learning_rate": 6.932572545014544e-07,
|
| 697 |
+
"loss": -0.000320572704076767,
|
| 698 |
+
"num_tokens": 1193424.0,
|
| 699 |
+
"reward": 3.725290298461914e-09,
|
| 700 |
+
"reward_std": 0.4126547574996948,
|
| 701 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 2.7939677238464355e-09,
|
| 702 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 703 |
+
"step": 1250
|
| 704 |
+
},
|
| 705 |
+
{
|
| 706 |
+
"clip_ratio/high_max": 0.0,
|
| 707 |
+
"clip_ratio/high_mean": 0.0,
|
| 708 |
+
"clip_ratio/low_mean": 0.00013079616706818342,
|
| 709 |
+
"clip_ratio/low_min": 0.00013079616706818342,
|
| 710 |
+
"clip_ratio/region_mean": 0.00013079616706818342,
|
| 711 |
+
"completion_length": 65.935,
|
| 712 |
+
"completions/clipped_ratio": 0.0,
|
| 713 |
+
"completions/max_length": 100.33333333333333,
|
| 714 |
+
"completions/max_terminated_length": 100.33333333333333,
|
| 715 |
+
"completions/mean_length": 66.515625,
|
| 716 |
+
"completions/mean_terminated_length": 66.515625,
|
| 717 |
+
"completions/min_length": 35.333333333333336,
|
| 718 |
+
"completions/min_terminated_length": 35.333333333333336,
|
| 719 |
+
"epoch": 0.0023090258042514494,
|
| 720 |
+
"frac_reward_zero_std": 0.625,
|
| 721 |
+
"grad_norm": 0.009241115301847458,
|
| 722 |
+
"kl": 0.0,
|
| 723 |
+
"learning_rate": 7.210097466752515e-07,
|
| 724 |
+
"loss": -0.000618676021695137,
|
| 725 |
+
"num_tokens": 1239227.0,
|
| 726 |
+
"reward": 0.0,
|
| 727 |
+
"reward_std": 0.4066670338312785,
|
| 728 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 0.0,
|
| 729 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052845637004,
|
| 730 |
+
"step": 1300
|
| 731 |
+
},
|
| 732 |
+
{
|
| 733 |
+
"clip_ratio/high_max": 0.0,
|
| 734 |
+
"clip_ratio/high_mean": 0.0,
|
| 735 |
+
"clip_ratio/low_mean": 5.586592014878988e-05,
|
| 736 |
+
"clip_ratio/low_min": 5.586592014878988e-05,
|
| 737 |
+
"clip_ratio/region_mean": 5.586592014878988e-05,
|
| 738 |
+
"completion_length": 61.28,
|
| 739 |
+
"completions/clipped_ratio": 0.0,
|
| 740 |
+
"completions/max_length": 106.66666666666667,
|
| 741 |
+
"completions/max_terminated_length": 106.66666666666667,
|
| 742 |
+
"completions/mean_length": 65.02083333333333,
|
| 743 |
+
"completions/mean_terminated_length": 65.02083333333333,
|
| 744 |
+
"completions/min_length": 33.666666666666664,
|
| 745 |
+
"completions/min_terminated_length": 33.666666666666664,
|
| 746 |
+
"epoch": 0.002397834489030351,
|
| 747 |
+
"frac_reward_zero_std": 0.6666666666666666,
|
| 748 |
+
"grad_norm": 0.010475926101207733,
|
| 749 |
+
"kl": 0.0,
|
| 750 |
+
"learning_rate": 7.487622388490487e-07,
|
| 751 |
+
"loss": 0.0006281441450119019,
|
| 752 |
+
"num_tokens": 1283967.0,
|
| 753 |
+
"reward": 9.934107462565104e-09,
|
| 754 |
+
"reward_std": 0.3140339305003484,
|
| 755 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 1.241763432820638e-09,
|
| 756 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 757 |
+
"step": 1350
|
| 758 |
+
},
|
| 759 |
+
{
|
| 760 |
+
"clip_ratio/high_max": 0.0,
|
| 761 |
+
"clip_ratio/high_mean": 0.0,
|
| 762 |
+
"clip_ratio/low_mean": 0.00010416666977107525,
|
| 763 |
+
"clip_ratio/low_min": 0.00010416666977107525,
|
| 764 |
+
"clip_ratio/region_mean": 0.00010416666977107525,
|
| 765 |
+
"completion_length": 64.255,
|
| 766 |
+
"completions/clipped_ratio": 0.0,
|
| 767 |
+
"completions/max_length": 96.66666666666667,
|
| 768 |
+
"completions/max_terminated_length": 96.66666666666667,
|
| 769 |
+
"completions/mean_length": 61.161458333333336,
|
| 770 |
+
"completions/mean_terminated_length": 61.161458333333336,
|
| 771 |
+
"completions/min_length": 34.333333333333336,
|
| 772 |
+
"completions/min_terminated_length": 34.333333333333336,
|
| 773 |
+
"epoch": 0.002486643173809253,
|
| 774 |
+
"frac_reward_zero_std": 0.7083333333333334,
|
| 775 |
+
"grad_norm": 0.02102189138531685,
|
| 776 |
+
"kl": 0.0,
|
| 777 |
+
"learning_rate": 7.765147310228459e-07,
|
| 778 |
+
"loss": -0.0013700899481773375,
|
| 779 |
+
"num_tokens": 1326542.0,
|
| 780 |
+
"reward": 2.483526865641276e-09,
|
| 781 |
+
"reward_std": 0.38102721174558,
|
| 782 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 7.450580596923828e-09,
|
| 783 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 784 |
+
"step": 1400
|
| 785 |
+
},
|
| 786 |
+
{
|
| 787 |
+
"clip_ratio/high_max": 0.0,
|
| 788 |
+
"clip_ratio/high_mean": 0.0,
|
| 789 |
+
"clip_ratio/low_mean": 8.771929889917374e-05,
|
| 790 |
+
"clip_ratio/low_min": 8.771929889917374e-05,
|
| 791 |
+
"clip_ratio/region_mean": 8.771929889917374e-05,
|
| 792 |
+
"completion_length": 65.215,
|
| 793 |
+
"completions/clipped_ratio": 0.0,
|
| 794 |
+
"completions/max_length": 112.0,
|
| 795 |
+
"completions/max_terminated_length": 112.0,
|
| 796 |
+
"completions/mean_length": 67.92708333333333,
|
| 797 |
+
"completions/mean_terminated_length": 67.92708333333333,
|
| 798 |
+
"completions/min_length": 33.666666666666664,
|
| 799 |
+
"completions/min_terminated_length": 33.666666666666664,
|
| 800 |
+
"epoch": 0.002575451858588155,
|
| 801 |
+
"frac_reward_zero_std": 0.8333333333333334,
|
| 802 |
+
"grad_norm": 0.0,
|
| 803 |
+
"kl": 0.0,
|
| 804 |
+
"learning_rate": 8.042672231966431e-07,
|
| 805 |
+
"loss": 0.001429552286863327,
|
| 806 |
+
"num_tokens": 1373424.0,
|
| 807 |
+
"reward": 0.0,
|
| 808 |
+
"reward_std": 0.2193582976857821,
|
| 809 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 4.967053731282552e-09,
|
| 810 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 0.671936829884847,
|
| 811 |
+
"step": 1450
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"clip_ratio/high_max": 0.0,
|
| 815 |
+
"clip_ratio/high_mean": 0.0,
|
| 816 |
+
"clip_ratio/low_mean": 0.00015233600046485663,
|
| 817 |
+
"clip_ratio/low_min": 0.00015233600046485663,
|
| 818 |
+
"clip_ratio/region_mean": 0.00015233600046485663,
|
| 819 |
+
"completion_length": 69.035,
|
| 820 |
+
"completions/clipped_ratio": 0.0,
|
| 821 |
+
"completions/max_length": 94.0,
|
| 822 |
+
"completions/max_terminated_length": 94.0,
|
| 823 |
+
"completions/mean_length": 69.44791666666667,
|
| 824 |
+
"completions/mean_terminated_length": 69.44791666666667,
|
| 825 |
+
"completions/min_length": 41.0,
|
| 826 |
+
"completions/min_terminated_length": 41.0,
|
| 827 |
+
"epoch": 0.002664260543367057,
|
| 828 |
+
"frac_reward_zero_std": 0.625,
|
| 829 |
+
"grad_norm": 0.001688106800429523,
|
| 830 |
+
"kl": 0.0,
|
| 831 |
+
"learning_rate": 8.320197153704403e-07,
|
| 832 |
+
"loss": -0.0005409684777259826,
|
| 833 |
+
"num_tokens": 1421518.0,
|
| 834 |
+
"reward": 1.4901161193847656e-08,
|
| 835 |
+
"reward_std": 0.3605746428171794,
|
| 836 |
+
"rewards/TranscriptCorrectionGrpoReward/mean": 2.483526865641276e-08,
|
| 837 |
+
"rewards/TranscriptCorrectionGrpoReward/std": 1.0079052448272705,
|
| 838 |
+
"step": 1500
|
| 839 |
+
},
|
| 840 |
+
{
|
| 841 |
+
"eval_cer_subset": 0.012653280570618985,
|
| 842 |
+
"eval_cer_subset_edit_distance": 777,
|
| 843 |
+
"eval_cer_subset_groups": 250,
|
| 844 |
+
"eval_cer_subset_items": 250,
|
| 845 |
+
"eval_cer_subset_ref_chars": 61407,
|
| 846 |
+
"eval_loss": 0.03984795692112765,
|
| 847 |
+
"step": 1521
|
| 848 |
+
}
|
| 849 |
+
],
|
| 850 |
+
"logging_steps": 50,
|
| 851 |
+
"max_steps": 2252032,
|
| 852 |
+
"num_input_tokens_seen": 1452552,
|
| 853 |
+
"num_train_epochs": 4,
|
| 854 |
+
"save_steps": 507,
|
| 855 |
+
"stateful_callbacks": {
|
| 856 |
+
"TrainerControl": {
|
| 857 |
+
"args": {
|
| 858 |
+
"should_epoch_stop": false,
|
| 859 |
+
"should_evaluate": false,
|
| 860 |
+
"should_log": false,
|
| 861 |
+
"should_save": true,
|
| 862 |
+
"should_training_stop": false
|
| 863 |
+
},
|
| 864 |
+
"attributes": {}
|
| 865 |
+
}
|
| 866 |
+
},
|
| 867 |
+
"total_flos": 0.0,
|
| 868 |
+
"train_batch_size": 2,
|
| 869 |
+
"trial_name": null,
|
| 870 |
+
"trial_params": null
|
| 871 |
+
}
|
meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:efd03f5456a4c15d2256ba2960a071c6dc2cb8a2ff8cf43b4f1331b6c112c442
|
| 3 |
+
size 6737
|
meta-llama__llama-3.2-1b/grpo/run_manifest.json
CHANGED
|
@@ -6,10 +6,10 @@
|
|
| 6 |
"model_name": "meta-llama/Llama-3.2-1B",
|
| 7 |
"status": "running",
|
| 8 |
"best_metric_name": "eval_cer_subset",
|
| 9 |
-
"best_metric_value": 0.
|
| 10 |
-
"best_step":
|
| 11 |
-
"best_checkpoint_step":
|
| 12 |
-
"latest_checkpoint_step":
|
| 13 |
"checkpoints": [
|
| 14 |
{
|
| 15 |
"step": 507,
|
|
@@ -22,10 +22,16 @@
|
|
| 22 |
"epoch": 0.0018010401273161306,
|
| 23 |
"repo_path": "meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1014",
|
| 24 |
"timestamp": "2026-04-09T01:10:57.965692+00:00"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 25 |
}
|
| 26 |
],
|
| 27 |
"epoch_artifacts": [],
|
| 28 |
"resume_history": [],
|
| 29 |
"created_at": "2026-04-09T00:54:21.973160+00:00",
|
| 30 |
-
"updated_at": "2026-04-09T01:
|
| 31 |
}
|
|
|
|
| 6 |
"model_name": "meta-llama/Llama-3.2-1B",
|
| 7 |
"status": "running",
|
| 8 |
"best_metric_name": "eval_cer_subset",
|
| 9 |
+
"best_metric_value": 0.012653280570618985,
|
| 10 |
+
"best_step": 1521,
|
| 11 |
+
"best_checkpoint_step": 1521,
|
| 12 |
+
"latest_checkpoint_step": 1521,
|
| 13 |
"checkpoints": [
|
| 14 |
{
|
| 15 |
"step": 507,
|
|
|
|
| 22 |
"epoch": 0.0018010401273161306,
|
| 23 |
"repo_path": "meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1014",
|
| 24 |
"timestamp": "2026-04-09T01:10:57.965692+00:00"
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"step": 1521,
|
| 28 |
+
"epoch": 0.0027015601909741956,
|
| 29 |
+
"repo_path": "meta-llama__llama-3.2-1b/grpo/checkpoints/checkpoint-1521",
|
| 30 |
+
"timestamp": "2026-04-09T01:17:04.646992+00:00"
|
| 31 |
}
|
| 32 |
],
|
| 33 |
"epoch_artifacts": [],
|
| 34 |
"resume_history": [],
|
| 35 |
"created_at": "2026-04-09T00:54:21.973160+00:00",
|
| 36 |
+
"updated_at": "2026-04-09T01:17:04.647008+00:00"
|
| 37 |
}
|