End of training

README.md

@@ -1,25 +1,25 @@
 ---
-base_model: hfl/chinese-roberta-wwm-ext
 library_name: transformers
 license: apache-2.0
-metrics:
-- accuracy
+base_model: hfl/chinese-roberta-wwm-ext
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
-- name: chinese-roberta-climate-related-prediction-v3
+- name: chinese-roberta-climate-related-prediction-V3
   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. -->
 
-# chinese-roberta-climate-related-prediction-v3
+# chinese-roberta-climate-related-prediction-V3
 
 This model is a fine-tuned version of [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2700
-- Accuracy: 0.98
+- Loss: 0.3023
+- Accuracy: 0.96
 
 ## Model description
 
@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 175  | 0.3346          | 0.97     |
-| No log        | 2.0   | 350  | 0.3511          | 0.97     |
-| 0.0012        | 3.0   | 525  | 0.3613          | 0.97     |
-| 0.0012        | 4.0   | 700  | 0.3682          | 0.97     |
-| 0.0012        | 5.0   | 875  | 0.3726          | 0.97     |
-| 0.0           | 6.0   | 1050 | 0.3760          | 0.97     |
-| 0.0           | 7.0   | 1225 | 0.2345          | 0.98     |
-| 0.0           | 8.0   | 1400 | 0.2820          | 0.97     |
-| 0.0086        | 9.0   | 1575 | 0.2686          | 0.98     |
-| 0.0086        | 10.0  | 1750 | 0.2700          | 0.98     |
+| No log        | 1.0   | 175  | 0.5317          | 0.94     |
+| No log        | 2.0   | 350  | 0.2234          | 0.98     |
+| 0.0124        | 3.0   | 525  | 0.1453          | 0.98     |
+| 0.0124        | 4.0   | 700  | 0.2038          | 0.98     |
+| 0.0124        | 5.0   | 875  | 0.2138          | 0.98     |
+| 0.004         | 6.0   | 1050 | 0.5196          | 0.93     |
+| 0.004         | 7.0   | 1225 | 0.3090          | 0.95     |
+| 0.004         | 8.0   | 1400 | 0.3080          | 0.96     |
+| 0.0033        | 9.0   | 1575 | 0.3067          | 0.96     |
+| 0.0033        | 10.0  | 1750 | 0.3023          | 0.96     |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.0+cu121
+- Pytorch 2.4.1+cu121
 - Datasets 3.0.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a89467c3cfd57b98046d97829a6f2b060e07f13d951969c3a17096c4c247abdc
+oid sha256:fc006b9d256556a7ea1553b40ede1c4e1dc795988e5917edde9fbc66fae123e0
 size 409100240

runs/Sep23_02-41-26_6737d6518873/events.out.tfevents.1727059287.6737d6518873.1043.4

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 8997
+oid sha256:2d3bc6e2215fdb8d683c1c84c67ce9dd75cc406c61c52296d955bb5962885123
+size 9674