End of training

README.md

@@ -4,16 +4,18 @@ base_model: gpt2
 tags:
 - generated_from_trainer
 model-index:
-- name: leda-v1
+- name: LEDA-v1
   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. -->
 
-# leda-v1
+# LEDA-v1
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.3486
 
 ## Model description
 
@@ -42,17 +44,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: cosine
 - lr_scheduler_warmup_steps: 1000
 - num_epochs: 1
+- mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 939  | 1.1382          |
+| 5.3987        | 0.8   | 5000 | 5.3486          |
 
 
 ### Framework versions
 
-- Transformers 4.33.0
+- Transformers 4.35.0
 - Pytorch 2.0.0
 - Datasets 2.1.0
-- Tokenizers 0.13.3
+- Tokenizers 0.14.1

generation_config.json

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 0,
   "eos_token_id": 0,
-  "transformers_version": "4.33.0"
+  "transformers_version": "4.35.0"
 }

model.safetensors

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 size 353743488

runs/Nov24_18-09-59_7d3e031819c8/events.out.tfevents.1700849409.7d3e031819c8.47.0

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