Training in progress, epoch 1, checkpoint
Browse files- .gitattributes +1 -0
- last-checkpoint/README.md +209 -0
- last-checkpoint/adapter_config.json +46 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/chat_template.jinja +87 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scaler.pt +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +24 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +0 -0
- last-checkpoint/trainer_state.json +476 -0
- last-checkpoint/training_args.bin +3 -0
.gitattributes
CHANGED
|
@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
last-checkpoint/tokenizer.json filter=lfs diff=lfs merge=lfs -text
|
last-checkpoint/README.md
ADDED
|
@@ -0,0 +1,209 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: mistralai/Mistral-Nemo-Instruct-2407
|
| 3 |
+
library_name: peft
|
| 4 |
+
pipeline_tag: text-generation
|
| 5 |
+
tags:
|
| 6 |
+
- base_model:adapter:mistralai/Mistral-Nemo-Instruct-2407
|
| 7 |
+
- lora
|
| 8 |
+
- sft
|
| 9 |
+
- transformers
|
| 10 |
+
- trl
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
# Model Card for Model ID
|
| 14 |
+
|
| 15 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
## Model Details
|
| 20 |
+
|
| 21 |
+
### Model Description
|
| 22 |
+
|
| 23 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
- **Developed by:** [More Information Needed]
|
| 28 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 29 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 30 |
+
- **Model type:** [More Information Needed]
|
| 31 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 32 |
+
- **License:** [More Information Needed]
|
| 33 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
### Model Sources [optional]
|
| 36 |
+
|
| 37 |
+
<!-- Provide the basic links for the model. -->
|
| 38 |
+
|
| 39 |
+
- **Repository:** [More Information Needed]
|
| 40 |
+
- **Paper [optional]:** [More Information Needed]
|
| 41 |
+
- **Demo [optional]:** [More Information Needed]
|
| 42 |
+
|
| 43 |
+
## Uses
|
| 44 |
+
|
| 45 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 46 |
+
|
| 47 |
+
### Direct Use
|
| 48 |
+
|
| 49 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 50 |
+
|
| 51 |
+
[More Information Needed]
|
| 52 |
+
|
| 53 |
+
### Downstream Use [optional]
|
| 54 |
+
|
| 55 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 56 |
+
|
| 57 |
+
[More Information Needed]
|
| 58 |
+
|
| 59 |
+
### Out-of-Scope Use
|
| 60 |
+
|
| 61 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 62 |
+
|
| 63 |
+
[More Information Needed]
|
| 64 |
+
|
| 65 |
+
## Bias, Risks, and Limitations
|
| 66 |
+
|
| 67 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 68 |
+
|
| 69 |
+
[More Information Needed]
|
| 70 |
+
|
| 71 |
+
### Recommendations
|
| 72 |
+
|
| 73 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 74 |
+
|
| 75 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 76 |
+
|
| 77 |
+
## How to Get Started with the Model
|
| 78 |
+
|
| 79 |
+
Use the code below to get started with the model.
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
## Training Details
|
| 84 |
+
|
| 85 |
+
### Training Data
|
| 86 |
+
|
| 87 |
+
<!-- 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. -->
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
### Training Procedure
|
| 92 |
+
|
| 93 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 94 |
+
|
| 95 |
+
#### Preprocessing [optional]
|
| 96 |
+
|
| 97 |
+
[More Information Needed]
|
| 98 |
+
|
| 99 |
+
|
| 100 |
+
#### Training Hyperparameters
|
| 101 |
+
|
| 102 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 103 |
+
|
| 104 |
+
#### Speeds, Sizes, Times [optional]
|
| 105 |
+
|
| 106 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 107 |
+
|
| 108 |
+
[More Information Needed]
|
| 109 |
+
|
| 110 |
+
## Evaluation
|
| 111 |
+
|
| 112 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 113 |
+
|
| 114 |
+
### Testing Data, Factors & Metrics
|
| 115 |
+
|
| 116 |
+
#### Testing Data
|
| 117 |
+
|
| 118 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 119 |
+
|
| 120 |
+
[More Information Needed]
|
| 121 |
+
|
| 122 |
+
#### Factors
|
| 123 |
+
|
| 124 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 125 |
+
|
| 126 |
+
[More Information Needed]
|
| 127 |
+
|
| 128 |
+
#### Metrics
|
| 129 |
+
|
| 130 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 131 |
+
|
| 132 |
+
[More Information Needed]
|
| 133 |
+
|
| 134 |
+
### Results
|
| 135 |
+
|
| 136 |
+
[More Information Needed]
|
| 137 |
+
|
| 138 |
+
#### Summary
|
| 139 |
+
|
| 140 |
+
|
| 141 |
+
|
| 142 |
+
## Model Examination [optional]
|
| 143 |
+
|
| 144 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 145 |
+
|
| 146 |
+
[More Information Needed]
|
| 147 |
+
|
| 148 |
+
## Environmental Impact
|
| 149 |
+
|
| 150 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 151 |
+
|
| 152 |
+
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).
|
| 153 |
+
|
| 154 |
+
- **Hardware Type:** [More Information Needed]
|
| 155 |
+
- **Hours used:** [More Information Needed]
|
| 156 |
+
- **Cloud Provider:** [More Information Needed]
|
| 157 |
+
- **Compute Region:** [More Information Needed]
|
| 158 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 159 |
+
|
| 160 |
+
## Technical Specifications [optional]
|
| 161 |
+
|
| 162 |
+
### Model Architecture and Objective
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
### Compute Infrastructure
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
#### Hardware
|
| 171 |
+
|
| 172 |
+
[More Information Needed]
|
| 173 |
+
|
| 174 |
+
#### Software
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
## Citation [optional]
|
| 179 |
+
|
| 180 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 181 |
+
|
| 182 |
+
**BibTeX:**
|
| 183 |
+
|
| 184 |
+
[More Information Needed]
|
| 185 |
+
|
| 186 |
+
**APA:**
|
| 187 |
+
|
| 188 |
+
[More Information Needed]
|
| 189 |
+
|
| 190 |
+
## Glossary [optional]
|
| 191 |
+
|
| 192 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## More Information [optional]
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
|
| 200 |
+
## Model Card Authors [optional]
|
| 201 |
+
|
| 202 |
+
[More Information Needed]
|
| 203 |
+
|
| 204 |
+
## Model Card Contact
|
| 205 |
+
|
| 206 |
+
[More Information Needed]
|
| 207 |
+
### Framework versions
|
| 208 |
+
|
| 209 |
+
- PEFT 0.18.1
|
last-checkpoint/adapter_config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alora_invocation_tokens": null,
|
| 3 |
+
"alpha_pattern": {},
|
| 4 |
+
"arrow_config": null,
|
| 5 |
+
"auto_mapping": null,
|
| 6 |
+
"base_model_name_or_path": "mistralai/Mistral-Nemo-Instruct-2407",
|
| 7 |
+
"bias": "none",
|
| 8 |
+
"corda_config": null,
|
| 9 |
+
"ensure_weight_tying": false,
|
| 10 |
+
"eva_config": null,
|
| 11 |
+
"exclude_modules": null,
|
| 12 |
+
"fan_in_fan_out": false,
|
| 13 |
+
"inference_mode": true,
|
| 14 |
+
"init_lora_weights": true,
|
| 15 |
+
"layer_replication": null,
|
| 16 |
+
"layers_pattern": null,
|
| 17 |
+
"layers_to_transform": null,
|
| 18 |
+
"loftq_config": {},
|
| 19 |
+
"lora_alpha": 32,
|
| 20 |
+
"lora_bias": false,
|
| 21 |
+
"lora_dropout": 0.05,
|
| 22 |
+
"megatron_config": null,
|
| 23 |
+
"megatron_core": "megatron.core",
|
| 24 |
+
"modules_to_save": null,
|
| 25 |
+
"peft_type": "LORA",
|
| 26 |
+
"peft_version": "0.18.1",
|
| 27 |
+
"qalora_group_size": 16,
|
| 28 |
+
"r": 16,
|
| 29 |
+
"rank_pattern": {},
|
| 30 |
+
"revision": null,
|
| 31 |
+
"target_modules": [
|
| 32 |
+
"o_proj",
|
| 33 |
+
"k_proj",
|
| 34 |
+
"up_proj",
|
| 35 |
+
"v_proj",
|
| 36 |
+
"q_proj",
|
| 37 |
+
"down_proj",
|
| 38 |
+
"gate_proj"
|
| 39 |
+
],
|
| 40 |
+
"target_parameters": null,
|
| 41 |
+
"task_type": "CAUSAL_LM",
|
| 42 |
+
"trainable_token_indices": null,
|
| 43 |
+
"use_dora": false,
|
| 44 |
+
"use_qalora": false,
|
| 45 |
+
"use_rslora": false
|
| 46 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5128d9dcd70414a36e31024f4ad5ec042101281c4c972fc6e1627cf56599a4f6
|
| 3 |
+
size 228140600
|
last-checkpoint/chat_template.jinja
ADDED
|
@@ -0,0 +1,87 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{%- if messages[0]["role"] == "system" %}
|
| 2 |
+
{%- set system_message = messages[0]["content"] %}
|
| 3 |
+
{%- set loop_messages = messages[1:] %}
|
| 4 |
+
{%- else %}
|
| 5 |
+
{%- set loop_messages = messages %}
|
| 6 |
+
{%- endif %}
|
| 7 |
+
{%- if not tools is defined %}
|
| 8 |
+
{%- set tools = none %}
|
| 9 |
+
{%- endif %}
|
| 10 |
+
{%- set user_messages = loop_messages | selectattr("role", "equalto", "user") | list %}
|
| 11 |
+
|
| 12 |
+
{#- This block checks for alternating user/assistant messages, skipping tool calling messages #}
|
| 13 |
+
{%- set ns = namespace() %}
|
| 14 |
+
{%- set ns.index = 0 %}
|
| 15 |
+
{%- for message in loop_messages %}
|
| 16 |
+
{%- if not (message.role == "tool" or message.role == "tool_results" or (message.tool_calls is defined and message.tool_calls is not none)) %}
|
| 17 |
+
{%- if (message["role"] == "user") != (ns.index % 2 == 0) %}
|
| 18 |
+
{{- raise_exception("After the optional system message, conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 19 |
+
{%- endif %}
|
| 20 |
+
{%- set ns.index = ns.index + 1 %}
|
| 21 |
+
{%- endif %}
|
| 22 |
+
{%- endfor %}
|
| 23 |
+
|
| 24 |
+
{{- bos_token }}
|
| 25 |
+
{%- for message in loop_messages %}
|
| 26 |
+
{%- if message["role"] == "user" %}
|
| 27 |
+
{%- if tools is not none and (message == user_messages[-1]) %}
|
| 28 |
+
{{- "[AVAILABLE_TOOLS][" }}
|
| 29 |
+
{%- for tool in tools %}
|
| 30 |
+
{%- set tool = tool.function %}
|
| 31 |
+
{{- '{"type": "function", "function": {' }}
|
| 32 |
+
{%- for key, val in tool.items() if key != "return" %}
|
| 33 |
+
{%- if val is string %}
|
| 34 |
+
{{- '"' + key + '": "' + val + '"' }}
|
| 35 |
+
{%- else %}
|
| 36 |
+
{{- '"' + key + '": ' + val|tojson }}
|
| 37 |
+
{%- endif %}
|
| 38 |
+
{%- if not loop.last %}
|
| 39 |
+
{{- ", " }}
|
| 40 |
+
{%- endif %}
|
| 41 |
+
{%- endfor %}
|
| 42 |
+
{{- "}}" }}
|
| 43 |
+
{%- if not loop.last %}
|
| 44 |
+
{{- ", " }}
|
| 45 |
+
{%- else %}
|
| 46 |
+
{{- "]" }}
|
| 47 |
+
{%- endif %}
|
| 48 |
+
{%- endfor %}
|
| 49 |
+
{{- "[/AVAILABLE_TOOLS]" }}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- if loop.last and system_message is defined %}
|
| 52 |
+
{{- "[INST]" + system_message + "\n\n" + message["content"] + "[/INST]" }}
|
| 53 |
+
{%- else %}
|
| 54 |
+
{{- "[INST]" + message["content"] + "[/INST]" }}
|
| 55 |
+
{%- endif %}
|
| 56 |
+
{%- elif (message.tool_calls is defined and message.tool_calls is not none) %}
|
| 57 |
+
{{- "[TOOL_CALLS][" }}
|
| 58 |
+
{%- for tool_call in message.tool_calls %}
|
| 59 |
+
{%- set out = tool_call.function|tojson %}
|
| 60 |
+
{{- out[:-1] }}
|
| 61 |
+
{%- if not tool_call.id is defined or tool_call.id|length != 9 %}
|
| 62 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 63 |
+
{%- endif %}
|
| 64 |
+
{{- ', "id": "' + tool_call.id + '"}' }}
|
| 65 |
+
{%- if not loop.last %}
|
| 66 |
+
{{- ", " }}
|
| 67 |
+
{%- else %}
|
| 68 |
+
{{- "]" + eos_token }}
|
| 69 |
+
{%- endif %}
|
| 70 |
+
{%- endfor %}
|
| 71 |
+
{%- elif message["role"] == "assistant" %}
|
| 72 |
+
{{- message["content"] + eos_token}}
|
| 73 |
+
{%- elif message["role"] == "tool_results" or message["role"] == "tool" %}
|
| 74 |
+
{%- if message.content is defined and message.content.content is defined %}
|
| 75 |
+
{%- set content = message.content.content %}
|
| 76 |
+
{%- else %}
|
| 77 |
+
{%- set content = message.content %}
|
| 78 |
+
{%- endif %}
|
| 79 |
+
{{- '[TOOL_RESULTS]{"content": ' + content|string + ", " }}
|
| 80 |
+
{%- if not message.tool_call_id is defined or message.tool_call_id|length != 9 %}
|
| 81 |
+
{{- raise_exception("Tool call IDs should be alphanumeric strings with length 9!") }}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{{- '"call_id": "' + message.tool_call_id + '"}[/TOOL_RESULTS]' }}
|
| 84 |
+
{%- else %}
|
| 85 |
+
{{- raise_exception("Only user and assistant roles are supported, with the exception of an initial optional system message!") }}
|
| 86 |
+
{%- endif %}
|
| 87 |
+
{%- endfor %}
|
last-checkpoint/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5b29aeaf32b580836c4ab6ce3bb3b6341694319fadb2c700d01bdfa699d0c67c
|
| 3 |
+
size 116484839
|
last-checkpoint/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7e2a25360b265ca8d0b891411b6f03807107a036c84312fe5f9c527c82dffde4
|
| 3 |
+
size 14709
|
last-checkpoint/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d2784a2c99c69b1eeb46f85a93b50eab9ad7944681abfbfbe77fcff06d3d98c4
|
| 3 |
+
size 1383
|
last-checkpoint/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:235ac77d5afb578b9d394edc166238b7f00aecfd5e424e6f4eb719fa59ee4941
|
| 3 |
+
size 1465
|
last-checkpoint/special_tokens_map.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<s>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "</s>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": "<unk>",
|
| 17 |
+
"unk_token": {
|
| 18 |
+
"content": "<unk>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
}
|
| 24 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b0240ce510f08e6c2041724e9043e33be9d251d1e4a4d94eb68cd47b954b61d2
|
| 3 |
+
size 17078292
|
last-checkpoint/tokenizer_config.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
last-checkpoint/trainer_state.json
ADDED
|
@@ -0,0 +1,476 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": 438,
|
| 3 |
+
"best_metric": 1.2615772485733032,
|
| 4 |
+
"best_model_checkpoint": "./adapter-phase2/checkpoint-438",
|
| 5 |
+
"epoch": 1.0,
|
| 6 |
+
"eval_steps": 500,
|
| 7 |
+
"global_step": 438,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"entropy": 0.9881319830194115,
|
| 14 |
+
"epoch": 0.022857142857142857,
|
| 15 |
+
"grad_norm": 1.5965849161148071,
|
| 16 |
+
"learning_rate": 9.958904109589041e-06,
|
| 17 |
+
"loss": 1.6407,
|
| 18 |
+
"mean_token_accuracy": 0.6662811586633325,
|
| 19 |
+
"num_tokens": 15996.0,
|
| 20 |
+
"step": 10
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"entropy": 1.2699928235262632,
|
| 24 |
+
"epoch": 0.045714285714285714,
|
| 25 |
+
"grad_norm": 1.3544626235961914,
|
| 26 |
+
"learning_rate": 9.913242009132421e-06,
|
| 27 |
+
"loss": 1.5705,
|
| 28 |
+
"mean_token_accuracy": 0.6635363385081291,
|
| 29 |
+
"num_tokens": 27684.0,
|
| 30 |
+
"step": 20
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"entropy": 1.6406203664839267,
|
| 34 |
+
"epoch": 0.06857142857142857,
|
| 35 |
+
"grad_norm": 1.615886926651001,
|
| 36 |
+
"learning_rate": 9.8675799086758e-06,
|
| 37 |
+
"loss": 1.6826,
|
| 38 |
+
"mean_token_accuracy": 0.6459833424538374,
|
| 39 |
+
"num_tokens": 36498.0,
|
| 40 |
+
"step": 30
|
| 41 |
+
},
|
| 42 |
+
{
|
| 43 |
+
"entropy": 1.8021161697804928,
|
| 44 |
+
"epoch": 0.09142857142857143,
|
| 45 |
+
"grad_norm": 1.3791861534118652,
|
| 46 |
+
"learning_rate": 9.821917808219178e-06,
|
| 47 |
+
"loss": 1.6402,
|
| 48 |
+
"mean_token_accuracy": 0.6510010983794927,
|
| 49 |
+
"num_tokens": 43095.0,
|
| 50 |
+
"step": 40
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"entropy": 1.8170176550745964,
|
| 54 |
+
"epoch": 0.11428571428571428,
|
| 55 |
+
"grad_norm": 1.978265643119812,
|
| 56 |
+
"learning_rate": 9.776255707762557e-06,
|
| 57 |
+
"loss": 1.595,
|
| 58 |
+
"mean_token_accuracy": 0.6443639542907477,
|
| 59 |
+
"num_tokens": 47981.0,
|
| 60 |
+
"step": 50
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"entropy": 1.1217214532196522,
|
| 64 |
+
"epoch": 0.13714285714285715,
|
| 65 |
+
"grad_norm": 0.9291492700576782,
|
| 66 |
+
"learning_rate": 9.730593607305937e-06,
|
| 67 |
+
"loss": 1.1238,
|
| 68 |
+
"mean_token_accuracy": 0.748357442393899,
|
| 69 |
+
"num_tokens": 64374.0,
|
| 70 |
+
"step": 60
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"entropy": 1.2191850792616605,
|
| 74 |
+
"epoch": 0.16,
|
| 75 |
+
"grad_norm": 0.946483314037323,
|
| 76 |
+
"learning_rate": 9.684931506849316e-06,
|
| 77 |
+
"loss": 1.1395,
|
| 78 |
+
"mean_token_accuracy": 0.7462461993098259,
|
| 79 |
+
"num_tokens": 76109.0,
|
| 80 |
+
"step": 70
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"entropy": 1.3447685081511735,
|
| 84 |
+
"epoch": 0.18285714285714286,
|
| 85 |
+
"grad_norm": 1.2081618309020996,
|
| 86 |
+
"learning_rate": 9.639269406392696e-06,
|
| 87 |
+
"loss": 1.2818,
|
| 88 |
+
"mean_token_accuracy": 0.7141567166894675,
|
| 89 |
+
"num_tokens": 84921.0,
|
| 90 |
+
"step": 80
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"entropy": 1.5163870930671692,
|
| 94 |
+
"epoch": 0.2057142857142857,
|
| 95 |
+
"grad_norm": 1.1962831020355225,
|
| 96 |
+
"learning_rate": 9.593607305936073e-06,
|
| 97 |
+
"loss": 1.4127,
|
| 98 |
+
"mean_token_accuracy": 0.6898491781204938,
|
| 99 |
+
"num_tokens": 91475.0,
|
| 100 |
+
"step": 90
|
| 101 |
+
},
|
| 102 |
+
{
|
| 103 |
+
"entropy": 1.494850355386734,
|
| 104 |
+
"epoch": 0.22857142857142856,
|
| 105 |
+
"grad_norm": 1.8051788806915283,
|
| 106 |
+
"learning_rate": 9.547945205479453e-06,
|
| 107 |
+
"loss": 1.3539,
|
| 108 |
+
"mean_token_accuracy": 0.7036820162087679,
|
| 109 |
+
"num_tokens": 96433.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"entropy": 0.9693804103881121,
|
| 114 |
+
"epoch": 0.25142857142857145,
|
| 115 |
+
"grad_norm": 0.9580877423286438,
|
| 116 |
+
"learning_rate": 9.502283105022831e-06,
|
| 117 |
+
"loss": 1.0186,
|
| 118 |
+
"mean_token_accuracy": 0.7684306014329195,
|
| 119 |
+
"num_tokens": 112394.0,
|
| 120 |
+
"step": 110
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"entropy": 1.090338883176446,
|
| 124 |
+
"epoch": 0.2742857142857143,
|
| 125 |
+
"grad_norm": 0.8812002539634705,
|
| 126 |
+
"learning_rate": 9.456621004566212e-06,
|
| 127 |
+
"loss": 1.0132,
|
| 128 |
+
"mean_token_accuracy": 0.7664786655455827,
|
| 129 |
+
"num_tokens": 123947.0,
|
| 130 |
+
"step": 120
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"entropy": 1.284313677251339,
|
| 134 |
+
"epoch": 0.29714285714285715,
|
| 135 |
+
"grad_norm": 1.1698031425476074,
|
| 136 |
+
"learning_rate": 9.41095890410959e-06,
|
| 137 |
+
"loss": 1.2496,
|
| 138 |
+
"mean_token_accuracy": 0.7140494808554649,
|
| 139 |
+
"num_tokens": 132309.0,
|
| 140 |
+
"step": 130
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"entropy": 1.3905419509857893,
|
| 144 |
+
"epoch": 0.32,
|
| 145 |
+
"grad_norm": 1.206275463104248,
|
| 146 |
+
"learning_rate": 9.365296803652969e-06,
|
| 147 |
+
"loss": 1.2838,
|
| 148 |
+
"mean_token_accuracy": 0.7115083243697882,
|
| 149 |
+
"num_tokens": 138781.0,
|
| 150 |
+
"step": 140
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"entropy": 1.3588767245411872,
|
| 154 |
+
"epoch": 0.34285714285714286,
|
| 155 |
+
"grad_norm": 1.989784598350525,
|
| 156 |
+
"learning_rate": 9.319634703196347e-06,
|
| 157 |
+
"loss": 1.1625,
|
| 158 |
+
"mean_token_accuracy": 0.7235500495880842,
|
| 159 |
+
"num_tokens": 143734.0,
|
| 160 |
+
"step": 150
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"entropy": 0.8994554949924349,
|
| 164 |
+
"epoch": 0.3657142857142857,
|
| 165 |
+
"grad_norm": 1.00913405418396,
|
| 166 |
+
"learning_rate": 9.273972602739727e-06,
|
| 167 |
+
"loss": 0.9263,
|
| 168 |
+
"mean_token_accuracy": 0.7811420723795891,
|
| 169 |
+
"num_tokens": 159877.0,
|
| 170 |
+
"step": 160
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"entropy": 1.0330400079488755,
|
| 174 |
+
"epoch": 0.38857142857142857,
|
| 175 |
+
"grad_norm": 1.0430705547332764,
|
| 176 |
+
"learning_rate": 9.228310502283106e-06,
|
| 177 |
+
"loss": 0.9874,
|
| 178 |
+
"mean_token_accuracy": 0.7636023428291082,
|
| 179 |
+
"num_tokens": 171343.0,
|
| 180 |
+
"step": 170
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"entropy": 1.1962346132844686,
|
| 184 |
+
"epoch": 0.4114285714285714,
|
| 185 |
+
"grad_norm": 1.3926544189453125,
|
| 186 |
+
"learning_rate": 9.182648401826484e-06,
|
| 187 |
+
"loss": 1.1651,
|
| 188 |
+
"mean_token_accuracy": 0.7276976224035024,
|
| 189 |
+
"num_tokens": 179829.0,
|
| 190 |
+
"step": 180
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"entropy": 1.2758624110370875,
|
| 194 |
+
"epoch": 0.4342857142857143,
|
| 195 |
+
"grad_norm": 1.4376598596572876,
|
| 196 |
+
"learning_rate": 9.136986301369863e-06,
|
| 197 |
+
"loss": 1.1398,
|
| 198 |
+
"mean_token_accuracy": 0.7325437176972628,
|
| 199 |
+
"num_tokens": 186366.0,
|
| 200 |
+
"step": 190
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"entropy": 1.2853564880788326,
|
| 204 |
+
"epoch": 0.45714285714285713,
|
| 205 |
+
"grad_norm": 2.2004787921905518,
|
| 206 |
+
"learning_rate": 9.091324200913243e-06,
|
| 207 |
+
"loss": 1.1638,
|
| 208 |
+
"mean_token_accuracy": 0.7276943679898977,
|
| 209 |
+
"num_tokens": 191365.0,
|
| 210 |
+
"step": 200
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"entropy": 0.866673743724823,
|
| 214 |
+
"epoch": 0.48,
|
| 215 |
+
"grad_norm": 1.0414421558380127,
|
| 216 |
+
"learning_rate": 9.045662100456622e-06,
|
| 217 |
+
"loss": 0.8423,
|
| 218 |
+
"mean_token_accuracy": 0.7982745975255966,
|
| 219 |
+
"num_tokens": 207506.0,
|
| 220 |
+
"step": 210
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"entropy": 0.947331802919507,
|
| 224 |
+
"epoch": 0.5028571428571429,
|
| 225 |
+
"grad_norm": 1.0546936988830566,
|
| 226 |
+
"learning_rate": 9e-06,
|
| 227 |
+
"loss": 0.9144,
|
| 228 |
+
"mean_token_accuracy": 0.7818248048424721,
|
| 229 |
+
"num_tokens": 219079.0,
|
| 230 |
+
"step": 220
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"entropy": 1.1076377972960472,
|
| 234 |
+
"epoch": 0.5257142857142857,
|
| 235 |
+
"grad_norm": 1.488133430480957,
|
| 236 |
+
"learning_rate": 8.954337899543379e-06,
|
| 237 |
+
"loss": 1.0699,
|
| 238 |
+
"mean_token_accuracy": 0.7396229557693005,
|
| 239 |
+
"num_tokens": 227798.0,
|
| 240 |
+
"step": 230
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"entropy": 1.2146507527679204,
|
| 244 |
+
"epoch": 0.5485714285714286,
|
| 245 |
+
"grad_norm": 1.393114686012268,
|
| 246 |
+
"learning_rate": 8.908675799086759e-06,
|
| 247 |
+
"loss": 1.1319,
|
| 248 |
+
"mean_token_accuracy": 0.7367029923945665,
|
| 249 |
+
"num_tokens": 234590.0,
|
| 250 |
+
"step": 240
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"entropy": 1.2185490131378174,
|
| 254 |
+
"epoch": 0.5714285714285714,
|
| 255 |
+
"grad_norm": 2.391268730163574,
|
| 256 |
+
"learning_rate": 8.863013698630137e-06,
|
| 257 |
+
"loss": 1.0764,
|
| 258 |
+
"mean_token_accuracy": 0.7414231035858393,
|
| 259 |
+
"num_tokens": 239719.0,
|
| 260 |
+
"step": 250
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"entropy": 0.8054604699835182,
|
| 264 |
+
"epoch": 0.5942857142857143,
|
| 265 |
+
"grad_norm": 0.9834737181663513,
|
| 266 |
+
"learning_rate": 8.817351598173518e-06,
|
| 267 |
+
"loss": 0.8053,
|
| 268 |
+
"mean_token_accuracy": 0.7998832739889622,
|
| 269 |
+
"num_tokens": 256472.0,
|
| 270 |
+
"step": 260
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"entropy": 0.9120684009045362,
|
| 274 |
+
"epoch": 0.6171428571428571,
|
| 275 |
+
"grad_norm": 1.0815778970718384,
|
| 276 |
+
"learning_rate": 8.771689497716896e-06,
|
| 277 |
+
"loss": 0.8559,
|
| 278 |
+
"mean_token_accuracy": 0.7897930487990379,
|
| 279 |
+
"num_tokens": 268303.0,
|
| 280 |
+
"step": 270
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"entropy": 1.0642446961253882,
|
| 284 |
+
"epoch": 0.64,
|
| 285 |
+
"grad_norm": 1.4160140752792358,
|
| 286 |
+
"learning_rate": 8.726027397260275e-06,
|
| 287 |
+
"loss": 1.0196,
|
| 288 |
+
"mean_token_accuracy": 0.7551121093332768,
|
| 289 |
+
"num_tokens": 277099.0,
|
| 290 |
+
"step": 280
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"entropy": 1.1535940799862145,
|
| 294 |
+
"epoch": 0.6628571428571428,
|
| 295 |
+
"grad_norm": 1.6847327947616577,
|
| 296 |
+
"learning_rate": 8.680365296803653e-06,
|
| 297 |
+
"loss": 1.0552,
|
| 298 |
+
"mean_token_accuracy": 0.7411838915199042,
|
| 299 |
+
"num_tokens": 283815.0,
|
| 300 |
+
"step": 290
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"entropy": 1.1651097811758517,
|
| 304 |
+
"epoch": 0.6857142857142857,
|
| 305 |
+
"grad_norm": 2.285900592803955,
|
| 306 |
+
"learning_rate": 8.634703196347033e-06,
|
| 307 |
+
"loss": 1.0267,
|
| 308 |
+
"mean_token_accuracy": 0.7420264776796103,
|
| 309 |
+
"num_tokens": 288831.0,
|
| 310 |
+
"step": 300
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"entropy": 0.7967551020905376,
|
| 314 |
+
"epoch": 0.7085714285714285,
|
| 315 |
+
"grad_norm": 1.1952354907989502,
|
| 316 |
+
"learning_rate": 8.589041095890412e-06,
|
| 317 |
+
"loss": 0.8013,
|
| 318 |
+
"mean_token_accuracy": 0.803380336984992,
|
| 319 |
+
"num_tokens": 305255.0,
|
| 320 |
+
"step": 310
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"entropy": 0.9132619671523571,
|
| 324 |
+
"epoch": 0.7314285714285714,
|
| 325 |
+
"grad_norm": 1.2885327339172363,
|
| 326 |
+
"learning_rate": 8.54337899543379e-06,
|
| 327 |
+
"loss": 0.8516,
|
| 328 |
+
"mean_token_accuracy": 0.7869276314973831,
|
| 329 |
+
"num_tokens": 316828.0,
|
| 330 |
+
"step": 320
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"entropy": 1.020271310582757,
|
| 334 |
+
"epoch": 0.7542857142857143,
|
| 335 |
+
"grad_norm": 1.46247398853302,
|
| 336 |
+
"learning_rate": 8.497716894977169e-06,
|
| 337 |
+
"loss": 0.9943,
|
| 338 |
+
"mean_token_accuracy": 0.7584239929914475,
|
| 339 |
+
"num_tokens": 325557.0,
|
| 340 |
+
"step": 330
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"entropy": 1.1350981347262858,
|
| 344 |
+
"epoch": 0.7771428571428571,
|
| 345 |
+
"grad_norm": 1.8628100156784058,
|
| 346 |
+
"learning_rate": 8.45205479452055e-06,
|
| 347 |
+
"loss": 1.0646,
|
| 348 |
+
"mean_token_accuracy": 0.7359312813729048,
|
| 349 |
+
"num_tokens": 332224.0,
|
| 350 |
+
"step": 340
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"entropy": 1.1172638952732086,
|
| 354 |
+
"epoch": 0.8,
|
| 355 |
+
"grad_norm": 2.362889289855957,
|
| 356 |
+
"learning_rate": 8.406392694063928e-06,
|
| 357 |
+
"loss": 0.974,
|
| 358 |
+
"mean_token_accuracy": 0.7591060597449542,
|
| 359 |
+
"num_tokens": 337193.0,
|
| 360 |
+
"step": 350
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"entropy": 0.7974750218912959,
|
| 364 |
+
"epoch": 0.8228571428571428,
|
| 365 |
+
"grad_norm": 1.1142443418502808,
|
| 366 |
+
"learning_rate": 8.360730593607306e-06,
|
| 367 |
+
"loss": 0.7776,
|
| 368 |
+
"mean_token_accuracy": 0.8041313651949167,
|
| 369 |
+
"num_tokens": 353595.0,
|
| 370 |
+
"step": 360
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"entropy": 0.8807439863681793,
|
| 374 |
+
"epoch": 0.8457142857142858,
|
| 375 |
+
"grad_norm": 1.4073342084884644,
|
| 376 |
+
"learning_rate": 8.315068493150685e-06,
|
| 377 |
+
"loss": 0.8367,
|
| 378 |
+
"mean_token_accuracy": 0.7917833589017391,
|
| 379 |
+
"num_tokens": 365258.0,
|
| 380 |
+
"step": 370
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"entropy": 1.0210479736328124,
|
| 384 |
+
"epoch": 0.8685714285714285,
|
| 385 |
+
"grad_norm": 1.506361484527588,
|
| 386 |
+
"learning_rate": 8.269406392694065e-06,
|
| 387 |
+
"loss": 0.9998,
|
| 388 |
+
"mean_token_accuracy": 0.753864735737443,
|
| 389 |
+
"num_tokens": 373694.0,
|
| 390 |
+
"step": 380
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"entropy": 1.0973432060331105,
|
| 394 |
+
"epoch": 0.8914285714285715,
|
| 395 |
+
"grad_norm": 1.8420379161834717,
|
| 396 |
+
"learning_rate": 8.223744292237444e-06,
|
| 397 |
+
"loss": 1.0189,
|
| 398 |
+
"mean_token_accuracy": 0.7553424458950758,
|
| 399 |
+
"num_tokens": 380272.0,
|
| 400 |
+
"step": 390
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"entropy": 1.1227020058780908,
|
| 404 |
+
"epoch": 0.9142857142857143,
|
| 405 |
+
"grad_norm": 2.7073919773101807,
|
| 406 |
+
"learning_rate": 8.178082191780822e-06,
|
| 407 |
+
"loss": 0.939,
|
| 408 |
+
"mean_token_accuracy": 0.755080708488822,
|
| 409 |
+
"num_tokens": 385214.0,
|
| 410 |
+
"step": 400
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"entropy": 0.7808640262112021,
|
| 414 |
+
"epoch": 0.9371428571428572,
|
| 415 |
+
"grad_norm": 1.3160523176193237,
|
| 416 |
+
"learning_rate": 8.1324200913242e-06,
|
| 417 |
+
"loss": 0.7749,
|
| 418 |
+
"mean_token_accuracy": 0.8022231217473745,
|
| 419 |
+
"num_tokens": 400292.0,
|
| 420 |
+
"step": 410
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"entropy": 0.9076132765039802,
|
| 424 |
+
"epoch": 0.96,
|
| 425 |
+
"grad_norm": 1.5909351110458374,
|
| 426 |
+
"learning_rate": 8.08675799086758e-06,
|
| 427 |
+
"loss": 0.8487,
|
| 428 |
+
"mean_token_accuracy": 0.78284947052598,
|
| 429 |
+
"num_tokens": 410576.0,
|
| 430 |
+
"step": 420
|
| 431 |
+
},
|
| 432 |
+
{
|
| 433 |
+
"entropy": 1.03597099930048,
|
| 434 |
+
"epoch": 0.9828571428571429,
|
| 435 |
+
"grad_norm": 1.9207741022109985,
|
| 436 |
+
"learning_rate": 8.04109589041096e-06,
|
| 437 |
+
"loss": 0.9651,
|
| 438 |
+
"mean_token_accuracy": 0.7578862871974706,
|
| 439 |
+
"num_tokens": 417570.0,
|
| 440 |
+
"step": 430
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 1.0,
|
| 444 |
+
"eval_accuracy": 0.008388412892696859,
|
| 445 |
+
"eval_entropy": 0.9678071262063207,
|
| 446 |
+
"eval_loss": 1.2615772485733032,
|
| 447 |
+
"eval_mean_token_accuracy": 0.7336987892172971,
|
| 448 |
+
"eval_num_tokens": 421194.0,
|
| 449 |
+
"eval_runtime": 298.9526,
|
| 450 |
+
"eval_samples_per_second": 3.459,
|
| 451 |
+
"eval_steps_per_second": 0.866,
|
| 452 |
+
"step": 438
|
| 453 |
+
}
|
| 454 |
+
],
|
| 455 |
+
"logging_steps": 10,
|
| 456 |
+
"max_steps": 2190,
|
| 457 |
+
"num_input_tokens_seen": 0,
|
| 458 |
+
"num_train_epochs": 5,
|
| 459 |
+
"save_steps": 500,
|
| 460 |
+
"stateful_callbacks": {
|
| 461 |
+
"TrainerControl": {
|
| 462 |
+
"args": {
|
| 463 |
+
"should_epoch_stop": false,
|
| 464 |
+
"should_evaluate": false,
|
| 465 |
+
"should_log": false,
|
| 466 |
+
"should_save": true,
|
| 467 |
+
"should_training_stop": false
|
| 468 |
+
},
|
| 469 |
+
"attributes": {}
|
| 470 |
+
}
|
| 471 |
+
},
|
| 472 |
+
"total_flos": 2.940029330061312e+16,
|
| 473 |
+
"train_batch_size": 1,
|
| 474 |
+
"trial_name": null,
|
| 475 |
+
"trial_params": null
|
| 476 |
+
}
|
last-checkpoint/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6397570b74b109fa363e6deebec3b410825df0b8fddd810637091c898cd86887
|
| 3 |
+
size 6353
|