End of training

README.md

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+---
+license: apache-2.0
+base_model: EleutherAI/pythia-70m
+tags:
+- generated_from_trainer
+model-index:
+- name: polish_wikipedia_model
+  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. -->
+
+# polish_wikipedia_model
+
+This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0404
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 133  | 0.4825          |
+| No log        | 2.0   | 266  | 0.4049          |
+| No log        | 3.0   | 399  | 0.4124          |
+| 0.4774        | 4.0   | 532  | 0.2849          |
+| 0.4774        | 5.0   | 665  | 0.2543          |
+| 0.4774        | 6.0   | 798  | 0.1860          |
+| 0.4774        | 7.0   | 931  | 0.1209          |
+| 0.2561        | 8.0   | 1064 | 0.0836          |
+| 0.2561        | 9.0   | 1197 | 0.0530          |
+| 0.2561        | 10.0  | 1330 | 0.0404          |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "EleutherAI/pythia-70m",
+  "architectures": [
+    "GPTNeoXForCausalLM"
+  ],
+  "attention_bias": true,
+  "attention_dropout": 0.0,
+  "bos_token_id": 0,
+  "classifier_dropout": 0.1,
+  "eos_token_id": 0,
+  "hidden_act": "gelu",
+  "hidden_dropout": 0.0,
+  "hidden_size": 512,
+  "initializer_range": 0.02,
+  "intermediate_size": 2048,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 2048,
+  "model_type": "gpt_neox",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 6,
+  "rope_scaling": null,
+  "rotary_emb_base": 10000,
+  "rotary_pct": 0.25,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.1",
+  "use_cache": true,
+  "use_parallel_residual": true,
+  "vocab_size": 50304
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.41.1"
+}

model.safetensors

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runs/Jun03_11-50-22_c4a222934390/events.out.tfevents.1717415425.c4a222934390.167.1

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training_args.bin

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