初始化项目,由ModelHub XC社区提供模型
Model: NastasiaM/mbert-loraxs-qa-vanilla Source: Original Platform
This commit is contained in:
206
run-24/checkpoint-3170/README.md
Normal file
206
run-24/checkpoint-3170/README.md
Normal file
@@ -0,0 +1,206 @@
|
||||
---
|
||||
base_model: bert-base-multilingual-cased
|
||||
library_name: peft
|
||||
tags:
|
||||
- base_model:adapter:bert-base-multilingual-cased
|
||||
- lora
|
||||
- transformers
|
||||
---
|
||||
|
||||
# Model Card for Model ID
|
||||
|
||||
<!-- Provide a quick summary of what the model is/does. -->
|
||||
|
||||
|
||||
|
||||
## Model Details
|
||||
|
||||
### Model Description
|
||||
|
||||
<!-- Provide a longer summary of what this model is. -->
|
||||
|
||||
|
||||
|
||||
- **Developed by:** [More Information Needed]
|
||||
- **Funded by [optional]:** [More Information Needed]
|
||||
- **Shared by [optional]:** [More Information Needed]
|
||||
- **Model type:** [More Information Needed]
|
||||
- **Language(s) (NLP):** [More Information Needed]
|
||||
- **License:** [More Information Needed]
|
||||
- **Finetuned from model [optional]:** [More Information Needed]
|
||||
|
||||
### Model Sources [optional]
|
||||
|
||||
<!-- Provide the basic links for the model. -->
|
||||
|
||||
- **Repository:** [More Information Needed]
|
||||
- **Paper [optional]:** [More Information Needed]
|
||||
- **Demo [optional]:** [More Information Needed]
|
||||
|
||||
## Uses
|
||||
|
||||
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
||||
|
||||
### Direct Use
|
||||
|
||||
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Downstream Use [optional]
|
||||
|
||||
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Out-of-Scope Use
|
||||
|
||||
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Bias, Risks, and Limitations
|
||||
|
||||
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Recommendations
|
||||
|
||||
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
||||
|
||||
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
||||
|
||||
## How to Get Started with the Model
|
||||
|
||||
Use the code below to get started with the model.
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Training Details
|
||||
|
||||
### Training Data
|
||||
|
||||
<!-- 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. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Training Procedure
|
||||
|
||||
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
||||
|
||||
#### Preprocessing [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
|
||||
#### Training Hyperparameters
|
||||
|
||||
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
||||
|
||||
#### Speeds, Sizes, Times [optional]
|
||||
|
||||
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Evaluation
|
||||
|
||||
<!-- This section describes the evaluation protocols and provides the results. -->
|
||||
|
||||
### Testing Data, Factors & Metrics
|
||||
|
||||
#### Testing Data
|
||||
|
||||
<!-- This should link to a Dataset Card if possible. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Factors
|
||||
|
||||
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Metrics
|
||||
|
||||
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Results
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Summary
|
||||
|
||||
|
||||
|
||||
## Model Examination [optional]
|
||||
|
||||
<!-- Relevant interpretability work for the model goes here -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Environmental Impact
|
||||
|
||||
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
||||
|
||||
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).
|
||||
|
||||
- **Hardware Type:** [More Information Needed]
|
||||
- **Hours used:** [More Information Needed]
|
||||
- **Cloud Provider:** [More Information Needed]
|
||||
- **Compute Region:** [More Information Needed]
|
||||
- **Carbon Emitted:** [More Information Needed]
|
||||
|
||||
## Technical Specifications [optional]
|
||||
|
||||
### Model Architecture and Objective
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
### Compute Infrastructure
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Hardware
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
#### Software
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Citation [optional]
|
||||
|
||||
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
||||
|
||||
**BibTeX:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
**APA:**
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Glossary [optional]
|
||||
|
||||
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## More Information [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Authors [optional]
|
||||
|
||||
[More Information Needed]
|
||||
|
||||
## Model Card Contact
|
||||
|
||||
[More Information Needed]
|
||||
### Framework versions
|
||||
|
||||
- PEFT 0.19.1
|
||||
47
run-24/checkpoint-3170/adapter_config.json
Normal file
47
run-24/checkpoint-3170/adapter_config.json
Normal file
@@ -0,0 +1,47 @@
|
||||
{
|
||||
"alora_invocation_tokens": null,
|
||||
"alpha_pattern": {},
|
||||
"arrow_config": null,
|
||||
"auto_mapping": null,
|
||||
"base_model_name_or_path": "bert-base-multilingual-cased",
|
||||
"bias": "none",
|
||||
"corda_config": null,
|
||||
"ensure_weight_tying": false,
|
||||
"eva_config": null,
|
||||
"exclude_modules": null,
|
||||
"fan_in_fan_out": false,
|
||||
"inference_mode": true,
|
||||
"init_lora_weights": true,
|
||||
"layer_replication": null,
|
||||
"layers_pattern": null,
|
||||
"layers_to_transform": null,
|
||||
"loftq_config": {},
|
||||
"lora_alpha": 64,
|
||||
"lora_bias": false,
|
||||
"lora_dropout": 0.12144321544438236,
|
||||
"lora_ga_config": null,
|
||||
"megatron_config": null,
|
||||
"megatron_core": "megatron.core",
|
||||
"modules_to_save": [
|
||||
"qa_outputs"
|
||||
],
|
||||
"peft_type": "LORA",
|
||||
"peft_version": "0.19.1",
|
||||
"qalora_group_size": 16,
|
||||
"r": 256,
|
||||
"rank_pattern": {},
|
||||
"revision": null,
|
||||
"target_modules": [
|
||||
"dense",
|
||||
"query",
|
||||
"key",
|
||||
"value"
|
||||
],
|
||||
"target_parameters": null,
|
||||
"task_type": "QUESTION_ANS",
|
||||
"trainable_token_indices": null,
|
||||
"use_bdlora": null,
|
||||
"use_dora": false,
|
||||
"use_qalora": false,
|
||||
"use_rslora": false
|
||||
}
|
||||
3
run-24/checkpoint-3170/adapter_model.safetensors
Normal file
3
run-24/checkpoint-3170/adapter_model.safetensors
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:886c27c81687b8f0bb5c672b0c34e640c27d5dec90e9a3e115f304cdee76ee9a
|
||||
size 188782560
|
||||
3
run-24/checkpoint-3170/optimizer.pt
Normal file
3
run-24/checkpoint-3170/optimizer.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:51d07400654596afa8f982e5e983fb50835c34d5691b0a8af39dad9784af01a8
|
||||
size 37825419
|
||||
3
run-24/checkpoint-3170/rng_state.pth
Normal file
3
run-24/checkpoint-3170/rng_state.pth
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:43b50930b3b94efd353814bfbf0a4ee0788a1b339110e0e0dd17f7825839358d
|
||||
size 14645
|
||||
3
run-24/checkpoint-3170/scaler.pt
Normal file
3
run-24/checkpoint-3170/scaler.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:23dbee8d3c6bb1f0572de2f044ec46639122465b09de0f92ea11b29717a7cfae
|
||||
size 1383
|
||||
3
run-24/checkpoint-3170/scheduler.pt
Normal file
3
run-24/checkpoint-3170/scheduler.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:53a448d4e3ba89a6caf185892b3718f11e4c0ebf1e4020e3b78be1dc2862eedd
|
||||
size 1465
|
||||
119711
run-24/checkpoint-3170/tokenizer.json
Normal file
119711
run-24/checkpoint-3170/tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
15
run-24/checkpoint-3170/tokenizer_config.json
Normal file
15
run-24/checkpoint-3170/tokenizer_config.json
Normal file
@@ -0,0 +1,15 @@
|
||||
{
|
||||
"backend": "tokenizers",
|
||||
"cls_token": "[CLS]",
|
||||
"do_lower_case": false,
|
||||
"is_local": false,
|
||||
"local_files_only": false,
|
||||
"mask_token": "[MASK]",
|
||||
"model_max_length": 512,
|
||||
"pad_token": "[PAD]",
|
||||
"sep_token": "[SEP]",
|
||||
"strip_accents": null,
|
||||
"tokenize_chinese_chars": true,
|
||||
"tokenizer_class": "BertTokenizer",
|
||||
"unk_token": "[UNK]"
|
||||
}
|
||||
126
run-24/checkpoint-3170/trainer_state.json
Normal file
126
run-24/checkpoint-3170/trainer_state.json
Normal file
@@ -0,0 +1,126 @@
|
||||
{
|
||||
"best_global_step": 2536,
|
||||
"best_metric": 76.5481177817324,
|
||||
"best_model_checkpoint": "mbert-loraxs-qa-vanilla/run-24/checkpoint-2536",
|
||||
"epoch": 5.0,
|
||||
"eval_steps": 500,
|
||||
"global_step": 3170,
|
||||
"is_hyper_param_search": true,
|
||||
"is_local_process_zero": true,
|
||||
"is_world_process_zero": true,
|
||||
"log_history": [
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"grad_norm": 5.415954113006592,
|
||||
"learning_rate": 0.00031164479502205044,
|
||||
"loss": 2.9678479504510054,
|
||||
"step": 634
|
||||
},
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"eval_exact_match": 56.16,
|
||||
"eval_f1": 71.44176954968724,
|
||||
"eval_loss": 1.397819995880127,
|
||||
"eval_runtime": 7.8224,
|
||||
"eval_samples_per_second": 161.715,
|
||||
"eval_steps_per_second": 10.227,
|
||||
"step": 634
|
||||
},
|
||||
{
|
||||
"epoch": 2.0,
|
||||
"grad_norm": 5.330461502075195,
|
||||
"learning_rate": 0.00023376430623845565,
|
||||
"loss": 1.3548693732132295,
|
||||
"step": 1268
|
||||
},
|
||||
{
|
||||
"epoch": 2.0,
|
||||
"eval_exact_match": 59.92,
|
||||
"eval_f1": 74.39548380172305,
|
||||
"eval_loss": 1.3065598011016846,
|
||||
"eval_runtime": 7.8066,
|
||||
"eval_samples_per_second": 162.043,
|
||||
"eval_steps_per_second": 10.248,
|
||||
"step": 1268
|
||||
},
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"grad_norm": 3.078212261199951,
|
||||
"learning_rate": 0.00015588381745486088,
|
||||
"loss": 1.0759374576412164,
|
||||
"step": 1902
|
||||
},
|
||||
{
|
||||
"epoch": 3.0,
|
||||
"eval_exact_match": 62.24,
|
||||
"eval_f1": 76.12391951339926,
|
||||
"eval_loss": 1.238013505935669,
|
||||
"eval_runtime": 7.8257,
|
||||
"eval_samples_per_second": 161.646,
|
||||
"eval_steps_per_second": 10.223,
|
||||
"step": 1902
|
||||
},
|
||||
{
|
||||
"epoch": 4.0,
|
||||
"grad_norm": 5.6887898445129395,
|
||||
"learning_rate": 7.800332867126607e-05,
|
||||
"loss": 0.8924907118740142,
|
||||
"step": 2536
|
||||
},
|
||||
{
|
||||
"epoch": 4.0,
|
||||
"eval_exact_match": 62.24,
|
||||
"eval_f1": 76.5481177817324,
|
||||
"eval_loss": 1.2567627429962158,
|
||||
"eval_runtime": 7.8214,
|
||||
"eval_samples_per_second": 161.735,
|
||||
"eval_steps_per_second": 10.228,
|
||||
"step": 2536
|
||||
},
|
||||
{
|
||||
"epoch": 5.0,
|
||||
"grad_norm": 3.660351037979126,
|
||||
"learning_rate": 1.2283988767128517e-07,
|
||||
"loss": 0.7783389407377513,
|
||||
"step": 3170
|
||||
},
|
||||
{
|
||||
"epoch": 5.0,
|
||||
"eval_exact_match": 62.0,
|
||||
"eval_f1": 76.159272535915,
|
||||
"eval_loss": 1.3152353763580322,
|
||||
"eval_runtime": 7.8272,
|
||||
"eval_samples_per_second": 161.617,
|
||||
"eval_steps_per_second": 10.221,
|
||||
"step": 3170
|
||||
}
|
||||
],
|
||||
"logging_steps": 500,
|
||||
"max_steps": 3170,
|
||||
"num_input_tokens_seen": 0,
|
||||
"num_train_epochs": 5,
|
||||
"save_steps": 500,
|
||||
"stateful_callbacks": {
|
||||
"TrainerControl": {
|
||||
"args": {
|
||||
"should_epoch_stop": false,
|
||||
"should_evaluate": false,
|
||||
"should_log": false,
|
||||
"should_save": true,
|
||||
"should_training_stop": true
|
||||
},
|
||||
"attributes": {}
|
||||
}
|
||||
},
|
||||
"total_flos": 1.545247865581056e+16,
|
||||
"train_batch_size": 16,
|
||||
"trial_name": null,
|
||||
"trial_params": {
|
||||
"learning_rate": 0.00035046219952617657,
|
||||
"lora_alpha": 64,
|
||||
"lora_dropout": 0.12144321544438236,
|
||||
"lora_r": 256,
|
||||
"num_train_epochs": 5,
|
||||
"weight_decay": 0.022438856746700774
|
||||
}
|
||||
}
|
||||
3
run-24/checkpoint-3170/training_args.bin
Normal file
3
run-24/checkpoint-3170/training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:0581fec09167a969d3e7ae566ee53220aac82e78c6d856ae1df961e0ffa2d995
|
||||
size 5201
|
||||
Reference in New Issue
Block a user