Training in progress, step 25, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +31 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state_0.pth +3 -0
- last-checkpoint/rng_state_1.pth +3 -0
- last-checkpoint/rng_state_2.pth +3 -0
- last-checkpoint/rng_state_3.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +44 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +271 -0
- last-checkpoint/trainer_state.json +233 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
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---
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base_model: OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- 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. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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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).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.13.2
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last-checkpoint/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"dense",
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"query_key_value",
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"dense_4h_to_h",
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"dense_h_to_4h"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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last-checkpoint/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/rng_state_0.pth
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last-checkpoint/rng_state_1.pth
ADDED
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/rng_state_2.pth
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last-checkpoint/rng_state_3.pth
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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last-checkpoint/special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|system|>",
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"<|assistant|>",
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"<|prefix_begin|>",
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"<|prefix_end|>",
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"<|prompter|>"
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],
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}
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last-checkpoint/tokenizer.json
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last-checkpoint/tokenizer_config.json
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|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
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"add_prefix_space": false,
|
5 |
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"added_tokens_decoder": {
|
6 |
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"0": {
|
7 |
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"content": "<|endoftext|>",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": false,
|
10 |
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"rstrip": false,
|
11 |
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"single_word": false,
|
12 |
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"special": true
|
13 |
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},
|
14 |
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"1": {
|
15 |
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"content": "<|padding|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"50254": {
|
23 |
+
"content": " ",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"50255": {
|
31 |
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"content": " ",
|
32 |
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"lstrip": false,
|
33 |
+
"normalized": true,
|
34 |
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|
35 |
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"single_word": false,
|
36 |
+
"special": false
|
37 |
+
},
|
38 |
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"50256": {
|
39 |
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"content": " ",
|
40 |
+
"lstrip": false,
|
41 |
+
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|
42 |
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|
43 |
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|
44 |
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|
45 |
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},
|
46 |
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"50257": {
|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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|
52 |
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|
53 |
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|
54 |
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|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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|
60 |
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|
61 |
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|
62 |
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"50259": {
|
63 |
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|
64 |
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|
65 |
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|
66 |
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|
67 |
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|
68 |
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|
69 |
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|
70 |
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"50260": {
|
71 |
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72 |
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|
73 |
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|
74 |
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|
75 |
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|
76 |
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|
77 |
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78 |
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|
79 |
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80 |
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|
81 |
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|
82 |
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|
83 |
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84 |
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85 |
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86 |
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|
87 |
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88 |
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89 |
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90 |
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91 |
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92 |
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93 |
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94 |
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95 |
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96 |
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97 |
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98 |
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99 |
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100 |
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101 |
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102 |
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103 |
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|
104 |
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|
105 |
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106 |
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107 |
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108 |
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109 |
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110 |
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|
111 |
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|
112 |
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|
113 |
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|
114 |
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115 |
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116 |
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117 |
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118 |
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119 |
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120 |
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121 |
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122 |
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123 |
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124 |
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125 |
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126 |
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"50267": {
|
127 |
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128 |
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|
129 |
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130 |
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131 |
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132 |
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133 |
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},
|
134 |
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"50268": {
|
135 |
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"content": " ",
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136 |
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137 |
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138 |
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139 |
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140 |
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141 |
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|
142 |
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|
143 |
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|
144 |
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|
145 |
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146 |
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|
147 |
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|
148 |
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149 |
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},
|
150 |
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"50270": {
|
151 |
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"content": " ",
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152 |
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|
153 |
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154 |
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|
155 |
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"single_word": false,
|
156 |
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|
157 |
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},
|
158 |
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"50271": {
|
159 |
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"content": " ",
|
160 |
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|
161 |
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|
162 |
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"rstrip": false,
|
163 |
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|
164 |
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"special": false
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165 |
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},
|
166 |
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"50272": {
|
167 |
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"content": " ",
|
168 |
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"lstrip": false,
|
169 |
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"normalized": true,
|
170 |
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171 |
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|
172 |
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"special": false
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173 |
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},
|
174 |
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"50273": {
|
175 |
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176 |
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|
177 |
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|
178 |
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|
179 |
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|
180 |
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181 |
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182 |
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|
183 |
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184 |
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185 |
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186 |
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|
187 |
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|
188 |
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189 |
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},
|
190 |
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|
191 |
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192 |
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|
193 |
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|
194 |
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|
195 |
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|
196 |
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197 |
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},
|
198 |
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|
199 |
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200 |
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|
201 |
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|
202 |
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203 |
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|
204 |
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|
205 |
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},
|
206 |
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"50277": {
|
207 |
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"content": "<|prefix_end|>",
|
208 |
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|
209 |
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"normalized": false,
|
210 |
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|
211 |
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|
212 |
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|
213 |
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},
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214 |
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"50278": {
|
215 |
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"content": "<|prefix_begin|>",
|
216 |
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|
217 |
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|
218 |
+
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|
219 |
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|
220 |
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|
221 |
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},
|
222 |
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|
223 |
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224 |
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|
225 |
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|
226 |
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|
227 |
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|
228 |
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229 |
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},
|
230 |
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"50280": {
|
231 |
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"content": "<|system|>",
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232 |
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|
233 |
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|
234 |
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|
235 |
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|
236 |
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|
237 |
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},
|
238 |
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"50281": {
|
239 |
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"content": "<|assistant|>",
|
240 |
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|
241 |
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|
242 |
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|
243 |
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|
244 |
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245 |
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|
246 |
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|
247 |
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248 |
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|
249 |
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|
250 |
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|
251 |
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|
252 |
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|
253 |
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|
254 |
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|
255 |
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|
256 |
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|
257 |
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|
258 |
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"<|prefix_begin|>",
|
259 |
+
"<|prefix_end|>",
|
260 |
+
"<|prompter|>"
|
261 |
+
],
|
262 |
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"bos_token": "<|endoftext|>",
|
263 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
264 |
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"clean_up_tokenization_spaces": true,
|
265 |
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"eos_token": "<|endoftext|>",
|
266 |
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267 |
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"pad_token": "[PAD]",
|
268 |
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"sep_token": "<|endoftext|>",
|
269 |
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"tokenizer_class": "GPTNeoXTokenizer",
|
270 |
+
"unk_token": "<|endoftext|>"
|
271 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,233 @@
|
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|
|
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|
|
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|
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|
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|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.2917022407054901,
|
3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-25",
|
4 |
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"epoch": 0.032859607327692435,
|
5 |
+
"eval_steps": 25,
|
6 |
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"global_step": 25,
|
7 |
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"is_hyper_param_search": false,
|
8 |
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"is_local_process_zero": true,
|
9 |
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"is_world_process_zero": true,
|
10 |
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"log_history": [
|
11 |
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{
|
12 |
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"epoch": 0.0013143842931076974,
|
13 |
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"grad_norm": 371.1976318359375,
|
14 |
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"learning_rate": 5e-05,
|
15 |
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"loss": 10.6086,
|
16 |
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"step": 1
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17 |
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},
|
18 |
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{
|
19 |
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"epoch": 0.0013143842931076974,
|
20 |
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"eval_loss": 10.13594913482666,
|
21 |
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"eval_runtime": 185.9656,
|
22 |
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"eval_samples_per_second": 27.564,
|
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