初始化项目，由ModelHub XC社区提供模型
Model: magnifi/magnifi-module-classifier-04-17-relabelled-upsampled Source: Original Platform
This commit is contained in:
ModelHub XC
151
README.md
Normal file
151
README.md
Normal file
@@ -0,0 +1,151 @@
|
||||
---
|
||||
library_name: transformers
|
||||
license: apache-2.0
|
||||
base_model: Tifin-Sage/magnifi-classifier-01-05-search-agent-3-epochs-3k-unknown-errors
|
||||
tags:
|
||||
- axolotl
|
||||
- generated_from_trainer
|
||||
datasets:
|
||||
- Tifin-Sage/magnifi-module-classifier-04-17-relabelled-upsampled
|
||||
model-index:
|
||||
- name: magnifi-module-classifier-04-17-relabelled-upsampled
|
||||
results: []
|
||||
---
|
||||
|
||||
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
||||
should probably proofread and complete it, then remove this comment. -->
|
||||
|
||||
[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
|
||||
<details><summary>See axolotl config</summary>
|
||||
|
||||
axolotl version: `0.16.0.dev0`
|
||||
```yaml
|
||||
base_model: Tifin-Sage/magnifi-classifier-01-05-search-agent-3-epochs-3k-unknown-errors
|
||||
hub_model_id: Tifin-Sage/magnifi-module-classifier-04-17-relabelled-upsampled
|
||||
|
||||
load_in_8bit: false
|
||||
load_in_4bit: false
|
||||
strict: false
|
||||
|
||||
chat_template: qwen3
|
||||
datasets:
|
||||
- path: Tifin-Sage/magnifi-module-classifier-04-17-relabelled-upsampled
|
||||
type: chat_template
|
||||
split: train
|
||||
field_messages: messages
|
||||
message_property_mappings:
|
||||
role: role
|
||||
content: content
|
||||
|
||||
val_set_size: 0.1
|
||||
|
||||
output_dir: /workspace/data/outputs/qwen3-4B/fft_magnifi-module-classifier-04-17-relabelled-upsampled/
|
||||
dataset_prepared_path: /workspace/data/datasets_prepared/magnifi-module-classifier-04-17-relabelled-upsampled
|
||||
|
||||
sequence_len: 16000
|
||||
sample_packing: true
|
||||
eval_sample_packing: true
|
||||
|
||||
|
||||
wandb_project: sage-classifier
|
||||
wandb_entity:
|
||||
wandb_watch:
|
||||
wandb_name: magnifi-module-classifier-04-17-relabelled-upsampled
|
||||
wandb_log_model:
|
||||
|
||||
gradient_accumulation_steps: 1
|
||||
micro_batch_size: 1
|
||||
num_epochs: 2
|
||||
optimizer: adamw_torch_fused
|
||||
lr_scheduler: cosine
|
||||
learning_rate: 2e-5
|
||||
|
||||
bf16: auto
|
||||
tf32: true
|
||||
|
||||
resume_from_checkpoint:
|
||||
logging_steps: 1
|
||||
|
||||
evals_per_epoch: 2
|
||||
saves_per_epoch: 1
|
||||
|
||||
warmup_ratio: 0.1
|
||||
weight_decay: 0.0
|
||||
fsdp:
|
||||
- full_shard
|
||||
- auto_wrap
|
||||
|
||||
fsdp_config:
|
||||
fsdp_version: 2
|
||||
fsdp_offload_params: false
|
||||
fsdp_cpu_ram_efficient_loading: true
|
||||
fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
||||
fsdp_transformer_layer_cls_to_wrap: Qwen3DecoderLayer
|
||||
fsdp_state_dict_type: FULL_STATE_DICT
|
||||
fsdp_sharding_strategy: FULL_SHARD
|
||||
fsdp_reshard_after_forward: true
|
||||
fsdp_activation_checkpointing: true
|
||||
|
||||
special_tokens:
|
||||
|
||||
```
|
||||
|
||||
</details><br>
|
||||
|
||||
# magnifi-module-classifier-04-17-relabelled-upsampled
|
||||
|
||||
This model is a fine-tuned version of [Tifin-Sage/magnifi-classifier-01-05-search-agent-3-epochs-3k-unknown-errors](https://huggingface.co/Tifin-Sage/magnifi-classifier-01-05-search-agent-3-epochs-3k-unknown-errors) on the Tifin-Sage/magnifi-module-classifier-04-17-relabelled-upsampled dataset.
|
||||
It achieves the following results on the evaluation set:
|
||||
- Loss: 0.2227
|
||||
- Ppl: 1.2494
|
||||
- Memory/max Active (gib): 34.91
|
||||
- Memory/max Allocated (gib): 34.91
|
||||
- Memory/device Reserved (gib): 57.25
|
||||
|
||||
## Model description
|
||||
|
||||
More information needed
|
||||
|
||||
## Intended uses & limitations
|
||||
|
||||
More information needed
|
||||
|
||||
## Training and evaluation data
|
||||
|
||||
More information needed
|
||||
|
||||
## Training procedure
|
||||
|
||||
### Training hyperparameters
|
||||
|
||||
The following hyperparameters were used during training:
|
||||
- learning_rate: 2e-05
|
||||
- train_batch_size: 1
|
||||
- eval_batch_size: 1
|
||||
- seed: 42
|
||||
- distributed_type: multi-GPU
|
||||
- num_devices: 2
|
||||
- total_train_batch_size: 2
|
||||
- total_eval_batch_size: 2
|
||||
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
||||
- lr_scheduler_type: cosine
|
||||
- lr_scheduler_warmup_steps: 47
|
||||
- training_steps: 478
|
||||
|
||||
### Training results
|
||||
|
||||
| Training Loss | Epoch | Step | Validation Loss | Ppl | Active (gib) | Allocated (gib) | Reserved (gib) |
|
||||
|:-------------:|:------:|:----:|:---------------:|:------:|:------------:|:---------------:|:--------------:|
|
||||
| No log | 0 | 0 | 0.2049 | 1.2275 | 27.41 | 27.41 | 30.62 |
|
||||
| 0.2339 | 0.5 | 120 | 0.2288 | 1.2571 | 34.91 | 34.91 | 59.04 |
|
||||
| 0.2290 | 1.0 | 240 | 0.2166 | 1.2419 | 34.91 | 34.91 | 57.54 |
|
||||
| 0.0898 | 1.5 | 360 | 0.2251 | 1.2524 | 34.91 | 34.91 | 57.54 |
|
||||
| 0.1331 | 1.9917 | 478 | 0.2227 | 1.2494 | 34.91 | 34.91 | 57.25 |
|
||||
|
||||
|
||||
### Framework versions
|
||||
|
||||
- Transformers 5.5.4
|
||||
- Pytorch 2.10.0+cu128
|
||||
- Datasets 4.8.4
|
||||
- Tokenizers 0.22.2
|
||||
Reference in New Issue
Block a user