End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [hfl/chinese-macbert-base](https://huggingface.co/hfl/chinese-macbert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6067
-- Accuracy: 0.7879
+- Loss: 0.6177
+- Accuracy: 0.7801
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.6429        | 1.0   | 3388  | 0.5812          | 0.7539   |
-| 0.5979        | 2.0   | 6776  | 0.5498          | 0.7721   |
-| 0.5451        | 3.0   | 10164 | 0.5438          | 0.7844   |
-| 0.3867        | 4.0   | 13552 | 0.5636          | 0.7871   |
-| 0.3479        | 5.0   | 16940 | 0.6067          | 0.7879   |
+| 0.6391        | 1.0   | 3388  | 0.5728          | 0.7547   |
+| 0.6062        | 2.0   | 6776  | 0.5545          | 0.7704   |
+| 0.5545        | 3.0   | 10164 | 0.5357          | 0.7819   |
+| 0.3597        | 4.0   | 13552 | 0.5709          | 0.7820   |
+| 0.327         | 5.0   | 16940 | 0.6177          | 0.7801   |
 
 
 ### Framework versions

emissions.csv

@@ -1,2 +1,2 @@
 timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
-2025-06-27T13:37:49,codecarbon,7dcc1b79-ecb5-4ed8-9806-08019606b15b,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,5072.593170372769,0.09643143760341563,1.901028416129204e-05,42.5,184.9291061480048,94.34468364715576,0.05984185819577706,0.7234216262368136,0.13283654694990482,0.9161000313824955,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-60-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58582305908203,machine,N,1.0
+2025-06-30T11:52:22,codecarbon,0e289da9-d45c-4fea-a0b8-1775cda9cf46,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,5728.429068184923,0.10835683297338093,1.8915627946793143e-05,42.5,454.91915669717054,94.34468364715576,0.06758234387103264,0.8117899213758335,0.15001919208743872,1.0293914573343048,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-60-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58582305908203,machine,N,1.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e347d47164d7c65d657c6c02e1aadf1d8618d7c92afc4e8431acb8d411cda257
+oid sha256:839a7b369326089e26ece03cb36a24903e4d71667e4d647785941777d8c0c24c
 size 409103316