End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: gpt2-medium
+tags:
+- generated_from_trainer
+model-index:
+- name: chessgpt2-medium-l
+  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. -->
+
+# chessgpt2-medium-l
+
+This model is a fine-tuned version of [gpt2-medium](https://huggingface.co/gpt2-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8574
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.025
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss |
+|:-------------:|:------:|:-----:|:---------------:|
+| 2.1756        | 0.1280 | 2000  | 1.5178          |
+| 1.4207        | 0.2560 | 4000  | 1.2728          |
+| 1.265         | 0.3839 | 6000  | 1.1726          |
+| 1.1852        | 0.5119 | 8000  | 1.1138          |
+| 1.1321        | 0.6399 | 10000 | 1.0720          |
+| 1.0931        | 0.7679 | 12000 | 1.0384          |
+| 1.0621        | 0.8958 | 14000 | 1.0097          |
+| 1.0319        | 1.0238 | 16000 | 0.9891          |
+| 0.9981        | 1.1518 | 18000 | 0.9680          |
+| 0.9816        | 1.2798 | 20000 | 0.9498          |
+| 0.9655        | 1.4077 | 22000 | 0.9360          |
+| 0.951         | 1.5357 | 24000 | 0.9219          |
+| 0.9386        | 1.6637 | 26000 | 0.9094          |
+| 0.9264        | 1.7917 | 28000 | 0.8974          |
+| 0.9154        | 1.9196 | 30000 | 0.8876          |
+| 0.8973        | 2.0476 | 32000 | 0.8804          |
+| 0.8734        | 2.1756 | 34000 | 0.8743          |
+| 0.8684        | 2.3036 | 36000 | 0.8683          |
+| 0.8638        | 2.4315 | 38000 | 0.8647          |
+| 0.86          | 2.5595 | 40000 | 0.8611          |
+| 0.8581        | 2.6875 | 42000 | 0.8589          |
+| 0.8557        | 2.8155 | 44000 | 0.8579          |
+| 0.8556        | 2.9434 | 46000 | 0.8574          |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_loss": 0.8574004173278809,
+    "eval_runtime": 423.69,
+    "eval_samples": 31921,
+    "eval_samples_per_second": 75.34,
+    "eval_steps_per_second": 9.42,
+    "perplexity": 2.357025440119543,
+    "total_flos": 1.8462142604897157e+18,
+    "train_loss": 0.19927044710540576,
+    "train_runtime": 48883.7053,
+    "train_samples": 1000192,
+    "train_samples_per_second": 61.382,
+    "train_steps_per_second": 0.959
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.8574004173278809,
+    "eval_runtime": 423.69,
+    "eval_samples": 31921,
+    "eval_samples_per_second": 75.34,
+    "eval_steps_per_second": 9.42,
+    "perplexity": 2.357025440119543
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 1,
+  "transformers_version": "4.44.2"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7ad22409dd3402ca2ecb2d47072950a781c2354f8fe3126a2eb8ae11d06d6f91
+oid sha256:70c18e946f85425f6567052844e41d2867eeaebc42b9d0914dd8b574b0a90250
 size 1212421632

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 1.8462142604897157e+18,
+    "train_loss": 0.19927044710540576,
+    "train_runtime": 48883.7053,
+    "train_samples": 1000192,
+    "train_samples_per_second": 61.382,
+    "train_steps_per_second": 0.959
+}